Machine learning based refined differential gene expression ... | 私立大學五星教授網

2021年1月15日 — Negative Binomial Distribution (NB) ... 可以這樣想， 兩個gene read count 平均一樣，但其中一個天生的expression 比較不穩，另一個則比較穩，我們就要用 ...

由 M Abbas 著作 · 2020 · 被引用 42 次 — Differential expression (DE) analysis of transcriptomic data enables genome-wide analysis of gene expression changes associated with biological ...

Differential expression analysis means taking the normalised read count data and performing statistical analysis to discover quantitative changes in ...

由 T Osabe 著作 · 2021 · 被引用 13 次 — RNA-seq is a tool for measuring gene expression and is commonly used to identify differentially expressed genes (DEGs). Gene clustering is used ...

由 A Anjum 著作 · 2016 · 被引用 82 次 — A gene is declared differentially expressed if a difference or change observed in read counts or expression levels/index between two experimental conditions is ...

2016年1月24日 — ... DEG analysis，目前已有些統計的方式來計算這些 ... edgeR: a Bioconductor package for differential expression analysis of digital gene expression ...

由 J Costa-Silva 著作 · 2017 · 被引用 659 次 — The correct identification of differentially expressed genes (DEGs) between specific conditions is a key in the understanding phenotypic variation.

This article introduces various bioinformatics methods (including pseudobulk, mixed-effects model, and differential distribution testing) for performing ...