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The dotplot was drawn by plotting the normalized expression values of SSRP1 or SPT16 against tissue definitions as distinct data points, with the plot divided into five segments based on tissues types: healthy tissues, malignant tissues, other diseases, cell lines from healthy tissues, and cancer cell lines. Within these segments, anatomical categories are also applied to the samples. Further, descriptive statistics were calculated to distinguish those samples that differ from the others within their respective segments. This is achieved by singling out and coloring any single tissue type in which the expression level is one standard deviation higher than the average expression of all tissues in the same segment or in which the 90th percentile of tissue expression is equal to or higher than 2 times the interquartile Alisertib clinical trial range plus the 75th percentile of the same segment. The boxplot for Bumetanide each gene was drawn as a standard box-whisker plot visualizing the gene��s expression in healthy and cancer tissues, with the tissue classifications displayed on the x axis. All tissues with at least five samples were included. The bottom of the box represents the 25th percentile of the data; the top of the box, the 75th percentile; and the horizontal line, the median. The whiskers extend to 1.5 times the interquartile range from the edges of the box, and any data points beyond this are considered outliers. To analyze the associations between the clinicopathological variables and gene expressions, we selleck products plotted the expression values of selected in?vivo cancer samples against clinical attributes using the phenoplot tool of IST Online. The phenoplot utilizes predefined subsets of cancer samples from various cancer types, from which the samples have been selected based on the availability of relevant clinical variables within the respective cancer types. The phenoplot is a combination of the boxplot and dotplot, such that the dots indicate individual samples, while box-whisker visualization indicates a higher-level distribution of data values. Each group of samples with a particular clinical covariate value is shown as a separate segment on the x axis of the phenoplot. If the notches of any?two boxes do not overlap vertically, the medians of the two sample groups differ significantly (with p-value?