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  2. DESeq2 - Wikipedia

    en.wikipedia.org/wiki/DESeq2

    DESeq2 is a software package in the field of bioinformatics and computational biology for the statistical programming language R. It is primarily employed for the analysis of high-throughput RNA sequencing (RNA-seq) data to identify differentially expressed genes between different experimental conditions.

  3. MA plot - Wikipedia

    en.wikipedia.org/wiki/MA_plot

    Within computational biology, an MA plot is an application of a Bland–Altman plot for visual representation of genomic data. The plot visualizes the differences between measurements taken in two samples, by transforming the data onto M (log ratio) and A (mean average) scales, then plotting these values.

  4. List of RNA-Seq bioinformatics tools - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA-Seq...

    fastqp Simple FASTQ quality assessment using Python. Kraken: [9] A set of tools for quality control and analysis of high-throughput sequence data. HTSeq [10] The Python script htseq-qa takes a file with sequencing reads (either raw or aligned reads) and produces a PDF file with useful plots to assess the technical quality of a run.

  5. Canonicalization - Wikipedia

    en.wikipedia.org/wiki/Canonicalization

    In computer science, canonicalization (sometimes standardization or normalization) is a process for converting data that has more than one possible representation into a "standard", "normal", or canonical form.

  6. UpSet plot - Wikipedia

    en.wikipedia.org/wiki/UpSet_plot

    Illustration showing how the rows of an UpSet plot correspond to the segments of a Venn diagram. An UpSet plot showing three sets, and the corresponding venn diagram. UpSet plots visualize intersections between sets in a matrix. In a vertical UpSet plot, the columns of the matrix correspond to the sets, the rows correspond to the intersections.

  7. Normalization (statistics) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(statistics)

    In the simplest cases, normalization of ratings means adjusting values measured on different scales to a notionally common scale, often prior to averaging. In more complicated cases, normalization may refer to more sophisticated adjustments where the intention is to bring the entire probability distributions of adjusted values into alignment.

  8. Appeals court removes Willis from Trump case; does not ...

    www.aol.com/news/appeals-court-removes-willis...

    (The Center Square) – The Georgia Court of Appeals removed Fulton County District Attorney Fani Willis from prosecuting the election interference case against Donald J. Trump and others. The ...

  9. Quantile normalization - Wikipedia

    en.wikipedia.org/wiki/Quantile_normalization

    To quantile normalize two or more distributions to each other, without a reference distribution, sort as before, then set to the average (usually, arithmetic mean) of the distributions. So the highest value in all cases becomes the mean of the highest values, the second highest value becomes the mean of the second highest values, and so on.