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		<id>http://istoriya.soippo.edu.ua/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Tail60seat</id>
		<title>HistoryPedia - Внесок користувача [uk]</title>
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		<updated>2026-04-21T05:21:45Z</updated>
		<subtitle>Внесок користувача</subtitle>
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	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Asure_enrichment_of_modules_with_all_the_golden-standard_ciliary_markers_from_the&amp;diff=305937</id>
		<title>Asure enrichment of modules with all the golden-standard ciliary markers from the</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Asure_enrichment_of_modules_with_all_the_golden-standard_ciliary_markers_from_the&amp;diff=305937"/>
				<updated>2018-03-22T17:25:31Z</updated>
		
		<summary type="html">&lt;p&gt;Tail60seat: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Due to the fact each dataset contains quite a few non-ciliary modules, the second table gives median similarity values, the third table ?highest similarity values, plus the fourth table ?lowest similarity [http://www.hengzixing.com/comment/html/?897963.html Hallenged using a high, persistent infection-generating dose of LCMV, which would] values (across all non-ciliary modules inside a offered dataset). To test expression tissue specificity, we compared expression levels of your genes involving brain (ten samples, see under), airways (7 samples) and fallopian tubes (three samples) employing Student's t-test primarily based on microarray data in the GSE7307 [https://dx.doi.org/10.1371/journal.pone.0115303 journal.pone.0115303] dataset (Z-score normalized information, see ``Tissue specificity analysis''). For the reason that ependymal cells are identified to become present in only a subset of brain regions [26], we chosen an ``ependyma-positive'' subgroup of samples from the total of 193 brain samples out there within the dataset: 10 samples with highest mean expression amount of ciliary markers (genes from the signature that belonged to the ciliary module in each of the 10 datasets were made use of as ciliary markers, Table S5, - all of them had been reported as ciliary inside the earlier studies).Asure enrichment of modules using the golden-standard ciliary markers from the Gherman's list (Fisher's exact test). Modules substantially enriched with all the ciliary markers are marked green. ``NS'' stands for ``non-significant'' (P.0.05). (XLS) Table S3 Gene composition of your ciliary modules. For every network a list of genes inside the ciliary module is offered (genome scale evaluation). The [https://dx.doi.org/10.1177/0164027515581421 1.64028E+14] ``Module membership'' column provides Pearson correlations between expression profile of a offered gene and integrated eigengene of your ciliary module (see Solutions). This measure ranks genes based on their proximity to the center from the ciliary module (hub position). (XLS) Table S4 Cross-networks modules similarity. The initial table describes similarity of the ciliary module in every dataset for the ciliary modules in the other datasets. The other 3 tables describe similarity of your ciliary module in every dataset to nonciliary modules within the other datasets. Due to the fact each and every dataset includes several non-ciliary modules, the second table offers median similarity values, the third table ?highest similarity values, as well as the fourth table ?lowest similarity values (across all non-ciliary modules within a given dataset). In every on the 4 tables, the topright corner with the matrix gives Fisher's exact test P-values describing significance of gene overlap in between the modules. The bottom-left corner provides corresponding percentages of gene overlap (one hundred  stands for the size on the smaller sized module in every single pair). (XLS)Differential coexpression analysisHub genes in the ciliary module had been defined as genes that belong to this module and show an expression profile hugely correlated with the ciliary module eigengene (MMciliary 0.75, see ``Expanding modules towards the genome scale''). To recognize genes differentially coexpressed among brain, airways and fallopian tubes, we initial chosen genes that represented ciliary module hubs in one tissue (specifically, in additional than half of datasets from a tissue) but did not belong towards the ciliary module in any in the other tissue datasets. To ensure that the coexpression variations had been statistically considerable, for each and every gene from this list we compared MMciliary values involving the tissues (ANOVA test primarily based on Fisher-transformed MMciliary values). The correction for numerous testing across genes was performed working with Benjamini-Hochberg technique.Validation of differentially coexpressed genesGenes identified as differentially coexpressed were tested applying (1) expression tissue specificity and (2) Protein Atlas information.&lt;/div&gt;</summary>
		<author><name>Tail60seat</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Asure_enrichment_of_modules_with_the_golden-standard_ciliary_markers_from_the&amp;diff=305174</id>
		<title>Asure enrichment of modules with the golden-standard ciliary markers from the</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Asure_enrichment_of_modules_with_the_golden-standard_ciliary_markers_from_the&amp;diff=305174"/>
				<updated>2018-03-20T04:50:31Z</updated>
		
		<summary type="html">&lt;p&gt;Tail60seat: Створена сторінка: (XLS) Table S4 Cross-networks modules similarity. The initial table describes similarity with the ciliary module in every single dataset for the ciliary modules...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;(XLS) Table S4 Cross-networks modules similarity. The initial table describes similarity with the ciliary module in every single dataset for the ciliary modules in the other datasets. The other three tables describe similarity from the ciliary module in every dataset to nonciliary modules inside the other datasets. Mainly because each dataset includes quite a few non-ciliary modules, the second table delivers median similarity values, the third table ?highest similarity values, and the fourth table ?lowest similarity values (across all non-ciliary modules inside a provided dataset). In each and every on the four tables, the topright corner from the matrix gives Fisher's exact test P-values describing significance of gene overlap among the modules. The bottom-left corner provides corresponding percentages of gene overlap (one hundred  stands for the size of your smaller module in every single pair). (XLS)Differential coexpression analysisHub genes with the ciliary module have been defined as genes that belong to this module and show an expression profile highly correlated together with the ciliary module eigengene (MMciliary 0.75, see ``Expanding modules [http://www.tongji.org/members/salary50badge/activity/800483/ Ative therapies, and counseling and self-help groups. The main ideas that] towards the genome scale''). To identify genes differentially coexpressed in between brain, airways and fallopian tubes, we very first selected genes that represented ciliary module hubs in a single tissue (especially, in extra than half of datasets from a tissue) but did not belong towards the ciliary module in any on the other tissue datasets. To ensure that the coexpression variations were statistically considerable, for each gene from this list we compared MMciliary values in between the tissues (ANOVA test primarily based on Fisher-transformed MMciliary values). The correction for many testing across genes was performed employing Benjamini-Hochberg technique.Validation of differentially coexpressed genesGenes identified as differentially coexpressed were tested using (1) expression tissue specificity and (2) Protein Atlas data. To test expression tissue specificity, we compared expression levels of your genes amongst brain (ten samples, see beneath), airways (7 samples) and fallopian tubes (three samples) working with Student's t-test based on microarray data from the GSE7307 [https://dx.doi.org/10.1371/journal.pone.0115303 journal.pone.0115303] dataset (Z-score normalized information, see ``Tissue specificity analysis''). Since ependymal cells are known to become present in only a subset of brain regions [26], we selected an ``ependyma-positive'' subgroup of samples from the total of 193 brain samples available within the dataset: 10 samples with highest mean expression level of ciliary markers (genes in the signature that belonged to the ciliary module in all the ten datasets had been utilized as ciliary markers, Table S5, - all of them had been reported as ciliary within the preceding studies). Working with Student's t-test, we compared expression level of a provided target gene involving the candidate tissue as well as the union from the two other tissues (P,0.05, Table 6).Asure enrichment of modules with the golden-standard ciliary markers in the Gherman's list (Fisher's exact test). Modules substantially enriched with all the ciliary markers are marked green. ``NS'' stands for ``non-significant'' (P.0.05). (XLS) Table S3 Gene composition on the ciliary modules. For every single network a list of genes inside the ciliary module is provided (genome scale evaluation). The [https://dx.doi.org/10.1177/0164027515581421 1.64028E+14] ``Module membership'' column gives Pearson correlations amongst expression profile of a provided gene and integrated eigengene with the ciliary module (see Strategies).&lt;/div&gt;</summary>
		<author><name>Tail60seat</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Ative_therapies,_and_counseling_and_self-help_groups._The_main_concepts_that&amp;diff=305150</id>
		<title>Ative therapies, and counseling and self-help groups. The main concepts that</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Ative_therapies,_and_counseling_and_self-help_groups._The_main_concepts_that&amp;diff=305150"/>
				<updated>2018-03-20T02:37:34Z</updated>
		
		<summary type="html">&lt;p&gt;Tail60seat: Створена сторінка: that had been indentified within the theorizing approach had been: (a) genetic elements; (b) demographic aspects; (c)ANS Adv Nurs Sci. Author manuscript; out th...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;that had been indentified within the theorizing approach had been: (a) genetic elements; (b) demographic aspects; (c)ANS Adv Nurs Sci. Author manuscript; out there in PMC 2011 April 1.ImPagehealth and menopausal status aspects; and (d) lifestyle variables. Each and every on the sub-concepts is described within the following sub-sections.NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author ManuscriptGenetic Factors--One of your transition circumstances included inside the AIMS theory is genetic components. Until not too long ago, it was believed that there was an association among the amount of circulating estrogen plus the occurrence of menopausal symptoms for the duration of and soon after the menopausal transition.24 Nonetheless, studies have reported conflicting findings on this connection; some studies showed an association, whereas other people didn't. Crandall and colleagues25 explained these conflicting findings by suggesting that estrogen function, instead of circulating estrogen levels, could possibly be independently related towards the occurrence of vasomotor symptoms. Having said that, it can be nonetheless unknown no matter whether alterations in estrogen function, which include estrogen inactivation, interconversion amongst estrogen metabolites, and/or estrogen receptor activity, are associated with all the occurrence of menopausal symptoms. Recently, researchers found that the genetics of sex steroid hormones and estrogen metabolism influenced menopausal symptoms.25 Others reported an association in between single nucleotide polymorphisms (SNPs) and menopausal symptoms.25, 26 Woods and colleagues26 indicated that ladies with all the CYP19 11r polymorphism reported more severe and frequent hot flashes. Crandall and colleagues25 reported that genetic polymorphisms had been substantially related with vasomotor symptoms. However, these genetic studies are complicated, and multiple gene loci are involved within the sex steroid hormone method and disease situations that create with age.The connection involving SNPs [https://dx.doi.org/10.1163/1568539X-00003152 1568539X-00003152] involved in estrogen function and menopausal symptoms, in [http://www.medchemexpress.com/GSK2256098.html GSK2256098 msds] particular vasomotor symptoms, has been inadequately explored.25 Sowers and colleagues27 reported that there was exceptional comparability among Chinese and Japanese w.Ative therapies, and counseling and self-help groups. The important concepts that comprise the AIMS theory as well as the associations amongst the concepts are described under with related sub-concepts; the supporting findings in the literature [http://www.medchemexpress.com/Tulathromycin-A.html Tulathromycin msds] assessment and the MOMS study (both quantitative [https://dx.doi.org/10.3389/fnhum.2013.00596 fnhum.2013.00596] findings and qualitative quotes) are presented with every single major concept. Transition Circumstances A major notion of your AIMS theory is transition conditions. This notion was adopted from the mid-range transition theory,20 which examined transition circumstances in the private (such as meanings, cultural beliefs and attitudes, socioeconomic status, preparation, and expertise), neighborhood, and societal levels. Accordingly, these transition situations influence the menopausal symptom experiences of Asian immigrant girls in the U.S. At a private level, Asian immigrant women's cultural attitudes toward complementary and alternative medicines are associated to their selection of symptom management. As members of a distinctive cultural group, their neighborhood situations influence the resources out there to them. Asian immigrant girls are subjected to societal conditions that tend to marginalize them mainly because they are immigrants and members of an ethnically oppressed group. The transition circumstances influencing menopausal symptom experiences of Asian immigrant females in the U.S. that were indentified within the theorizing process had been: (a) genetic things; (b) demographic aspects; (c)ANS Adv Nurs Sci.&lt;/div&gt;</summary>
		<author><name>Tail60seat</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Asure_enrichment_of_modules_using_the_golden-standard_ciliary_markers_in_the&amp;diff=300453</id>
		<title>Asure enrichment of modules using the golden-standard ciliary markers in the</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Asure_enrichment_of_modules_using_the_golden-standard_ciliary_markers_in_the&amp;diff=300453"/>
				<updated>2018-03-09T22:22:00Z</updated>
		
		<summary type="html">&lt;p&gt;Tail60seat: Створена сторінка: For every network a list of genes within the ciliary module is [http://www.hongyangxy.com/comment/html/?1640047.html N as it molds itself around the peptide. Th...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For every network a list of genes within the ciliary module is [http://www.hongyangxy.com/comment/html/?1640047.html N as it molds itself around the peptide. The complementarity dependent] offered (genome scale evaluation). The [https://dx.doi.org/10.1177/0164027515581421 1.64028E+14] ``Module membership'' column offers Pearson correlations among expression profile of a given gene and integrated eigengene of the ciliary module (see Approaches). This measure ranks genes primarily based on their proximity for the center on the ciliary module (hub position). (XLS) Table S4 Cross-networks modules similarity. The initial table describes similarity on the ciliary module in every single dataset to the ciliary modules inside the other datasets. The other 3 tables describe similarity on the ciliary module in every dataset to nonciliary modules inside the other datasets. Since every single dataset consists of quite a few non-ciliary modules, the second table delivers median similarity values, the third table ?highest similarity values, plus the fourth table ?lowest similarity values (across all non-ciliary modules within a offered dataset). In each and every with the 4 tables, the topright corner of the matrix gives Fisher's exact test P-values describing significance of gene overlap involving the modules. The bottom-left corner delivers corresponding percentages of gene overlap (one hundred  stands for the size with the smaller module in each pair). (XLS)Differential coexpression analysisHub genes of the ciliary module had been defined as genes that belong to this module and show an expression profile very correlated with all the ciliary module eigengene (MMciliary 0.75, see ``Expanding modules towards the genome scale'').Asure enrichment of modules using the golden-standard ciliary markers from the Gherman's list (Fisher's exact test). Modules significantly enriched together with the ciliary markers are marked green. ``NS'' stands for ``non-significant'' (P.0.05). (XLS) Table S3 Gene composition of the ciliary modules. For each and every network a list of genes in the ciliary module is offered (genome scale analysis). The [https://dx.doi.org/10.1177/0164027515581421 1.64028E+14] ``Module membership'' column offers Pearson correlations in between expression profile of a given gene and integrated eigengene on the ciliary module (see Techniques). This measure ranks genes primarily based on their proximity towards the center in the ciliary module (hub position). (XLS) Table S4 Cross-networks modules similarity. The first table describes similarity on the ciliary module in every dataset to the ciliary modules within the other datasets. The other three tables describe similarity from the ciliary module in every dataset to nonciliary modules in the other datasets. Mainly because every dataset includes many non-ciliary modules, the second table offers median similarity values, the third table ?highest similarity values, plus the fourth table ?lowest similarity values (across all non-ciliary modules within a provided dataset).Asure enrichment of modules with the golden-standard ciliary markers in the Gherman's list (Fisher's exact test). Modules substantially enriched using the ciliary markers are marked green. ``NS'' stands for ``non-significant'' (P.0.05). (XLS) Table S3 Gene composition of the ciliary modules. For each network a list of genes inside the ciliary module is provided (genome scale analysis). The [https://dx.doi.org/10.1177/0164027515581421 1.64028E+14] ``Module membership'' column offers Pearson correlations between expression profile of a provided gene and integrated eigengene of your ciliary module (see Solutions). This measure ranks genes primarily based on their proximity for the center in the ciliary module (hub position). (XLS) Table S4 Cross-networks modules similarity.&lt;/div&gt;</summary>
		<author><name>Tail60seat</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Asure_enrichment_of_modules_with_the_golden-standard_ciliary_markers_in_the&amp;diff=300412</id>
		<title>Asure enrichment of modules with the golden-standard ciliary markers in the</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Asure_enrichment_of_modules_with_the_golden-standard_ciliary_markers_in_the&amp;diff=300412"/>
				<updated>2018-03-09T18:31:01Z</updated>
		
		<summary type="html">&lt;p&gt;Tail60seat: Створена сторінка: (XLS)Differential coexpression analysisHub genes on the ciliary module were defined as genes that belong to this module and show an expression profile very corr...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;(XLS)Differential coexpression analysisHub genes on the ciliary module were defined as genes that belong to this module and show an expression profile very correlated with the ciliary module eigengene (MMciliary 0.75, see ``Expanding modules towards the genome scale''). To identify genes differentially coexpressed in between brain, airways and fallopian tubes, we 1st chosen genes that represented ciliary module hubs in a single tissue (specifically, in more than half of datasets from a tissue) but did not belong to the ciliary module in any from the other tissue datasets. To make sure that the coexpression variations have been statistically considerable, for each gene from this list we compared MMciliary values amongst the tissues (ANOVA test based on Fisher-transformed MMciliary values). The correction for multiple testing across genes was performed utilizing Benjamini-Hochberg method.Validation of differentially coexpressed genesGenes identified as differentially coexpressed had been tested using (1) expression tissue specificity and (two) Protein Atlas data. To test expression tissue specificity, we compared expression levels from the genes between brain (10 samples, see below), airways (7 samples) and fallopian tubes (3 samples) making use of Student's t-test primarily based on microarray data from the GSE7307 [https://dx.doi.org/10.1371/journal.pone.0115303 journal.pone.0115303] dataset (Z-score normalized information, see ``Tissue specificity analysis''). Mainly because ependymal cells are known to become present in only a subset of brain regions [26], we chosen an ``ependyma-positive'' subgroup of samples from the total of 193 brain samples readily available in the dataset: ten samples with highest imply expression degree of ciliary markers (genes from the signature that belonged to the ciliary module in all the 10 datasets had been applied as ciliary markers, Table S5, - all of them had been reported as ciliary in the earlier research). Working with Student's t-test, we compared expression amount of a given target gene in between the candidate tissue along with the union with the two other tissues (P,0.05, Table six). Additio.Asure enrichment of modules using the golden-standard ciliary markers in the Gherman's list (Fisher's exact test). Modules considerably enriched together with the ciliary markers are [http://www.268mt.com/comment/html/?87279.html Erologous virus infections determines antiviral immunity and immunopathology inside the lung.] marked green. ``NS'' stands for ``non-significant'' (P.0.05). (XLS) Table S3 Gene composition with the ciliary modules. For each and every network a list of genes in the ciliary module is provided (genome scale analysis). The [https://dx.doi.org/10.1177/0164027515581421 1.64028E+14] ``Module membership'' column offers Pearson correlations in between expression profile of a given gene and integrated eigengene of your ciliary module (see Methods). This measure ranks genes primarily based on their proximity for the center of your ciliary module (hub position). (XLS) Table S4 Cross-networks modules similarity. The first table describes similarity from the ciliary module in every dataset to the ciliary modules within the other datasets. The other three tables describe similarity with the ciliary module in every dataset to nonciliary modules in the other datasets. Simply because each and every dataset contains numerous non-ciliary modules, the second table gives median similarity values, the third table ?highest similarity values, along with the fourth table ?lowest similarity values (across all non-ciliary modules within a offered dataset). In each of your four tables, the topright corner with the matrix supplies Fisher's exact test P-values describing significance of gene overlap involving the modules. The bottom-left corner offers corresponding percentages of gene overlap (100  stands for the size of the smaller sized module in each pair).&lt;/div&gt;</summary>
		<author><name>Tail60seat</name></author>	</entry>

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