This guide shows how to reshape TCGA MAF mutation data into SomaticSignatures input and then use R to assess mutational signature counts, run NMF decomposition, and visualize the results.……
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For webmasters, improving search engine rankings through website SEO and attracting more organic users is crucial for continuously increasing website traffic. In addition to improving the quality of their own website content, simulating searches and clicks on search engines is a complementary method. After comparing various existing Baidu and Sogou click software, designing a customizable SEO click software of one’s own seems very challenging and meaningful. Recently, I’ve also been learning PyQt6 as a GUI programming package, which is perfect for this task.……
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This guide shows how to manually install older R packages from source when a newer R version cannot install packages like qvalue or clusterProfiler directly.……
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This guide shows how to create a Raincloud plot with Python, what the layered structure means, and what to adjust before exporting the figure for reports or papers.……
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This guide explains what Canonical Correlation Analysis (CCA) is, how it differs from PCA, and how to run and interpret a simple CCA workflow in Python with sklearn.……
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This article explains confidence intervals and shows, with a Python bootstrap example, how to repeatedly resample data, visualize the resulting statistic, and estimate a 95% confidence interval.……
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This article explains several common preprocessing methods in sklearn, including MinMaxScaler, StandardScaler, RobustScaler, and Normalizer, and shows when each one is a better fit.……
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The concordance index, or c-index, is a common survival-analysis metric for ranking quality. This guide explains what it measures, how to compute it with Python lifelines, and why ordering matters more than exact values.……
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This article uses small examples to compare Python lists and NumPy arrays, focusing on what they do differently in summation, products, and numeric computing workflows.……
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Cluster analysis allows us to find groups of similar samples or features, with stronger correlations among these objects. Common uses include grouping samples by different gene expression profiles or grouping genes by classifications of different samples.……
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When visualizing data, it’s common to plot multiple charts in a single figure. For example, visualizing the same variable from different perspectives like side-by-side histograms and boxplots for numerical variables is useful.……
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When using scrapy to crawl web pages, many websites render content with JavaScript, so directly fetching the source code will not get the needed content. In this case, using selenium to drive a browser to get the rendered content is very suitable.……
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