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  2. DESeq2 - Wikipedia

    en.wikipedia.org/wiki/DESeq2

    By incorporating the negative binomial distribution, DESeq2 accurately models the dispersion of gene expression counts and provides more reliable estimates of differential expression. DESeq2 also offers an adaptive shrinkage procedure, known as the "apeglm" method, which is particularly useful when dealing with small sample sizes. [ 6 ]

  3. List of RNA-Seq bioinformatics tools - Wikipedia

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

    Using DESeq2 as a framework, DEvis provides a wide variety of tools for data manipulation, visualization, and project management. DEXSeq is Bioconductor package that finds differential differential exon usage based on RNA-Seq exon counts between samples. DEXSeq employs negative binomial distribution, provides options to visualization and ...

  4. Gene set enrichment analysis - Wikipedia

    en.wikipedia.org/wiki/Gene_set_enrichment_analysis

    Schematic overview of the modular structure underlying procedures for gene set enrichment analysis. Gene set enrichment analysis (GSEA) (also called functional enrichment analysis or pathway enrichment analysis) is a method to identify classes of genes or proteins that are over-represented in a large set of genes or proteins, and may have an association with different phenotypes (e.g ...

  5. Normalization (statistics) - Wikipedia

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

    In another usage in statistics, normalization refers to the creation of shifted and scaled versions of statistics, where the intention is that these normalized values allow the comparison of corresponding normalized values for different datasets in a way that eliminates the effects of certain gross influences, as in an anomaly time series. Some ...

  6. 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.

  7. Template : Hormone levels during pregnancy in human females

    en.wikipedia.org/wiki/Template:Hormone_levels...

    Estrogen, progesterone, and human chorionic gonadotropin (hCG) levels throughout pregnancy. Estrogen, progesterone, and 17α-hydroxyprogesterone (17α-OHP) levels during pregnancy in women. [ 1 ] The dashed vertical lines separate the trimesters .

  8. Denormalization - Wikipedia

    en.wikipedia.org/wiki/Denormalization

    Denormalization is a strategy used on a previously-normalized database to increase performance. In computing, denormalization is the process of trying to improve the read performance of a database, at the expense of losing some write performance, by adding redundant copies of data or by grouping data.

  9. Human placental lactogen - Wikipedia

    en.wikipedia.org/wiki/Human_placental_lactogen

    It modifies the metabolic state of the mother during pregnancy to facilitate energy supply to the fetus. hPL has anti-insulin properties. hPL is a hormone secreted by the syncytiotrophoblast during pregnancy. Like human growth hormone, hPL is encoded by genes on chromosome 17q22-24. It was identified in 1963. [2]

  1. Related searches extract normalized counts from deseq2 group chart for pregnancy 3 days

    extract normalized counts from deseq2 group chart for pregnancy 3 days after period