What is differential gene expression

DEcode is freely available to researchers to identify influential molecular mechanisms for any human expression data.

The data sources for GTEx data, TF and RBP binding peaks, miRNA binding locations, disease-related genes, protein—protein interaction data, pathways, gene ontology and the DE prior rank that were used for model training and interpretation are available in Supplementary Table 8. DEcode software and pre-trained models for tissue- and person-specific transcriptomes are available at www.

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There are different methods for differential expression analysis such as edgeR and DESeq based on negative binomial NB distributions or baySeq and EBSeq which are Bayesian approaches based on a negative binomial model.

It is important to consider the experimental design when choosing an analysis method. JL and HL analyzed the data. FT wrote the manuscript. All authors approved the final manuscript. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

We acknowledge the use of the lab facilities including inverted microscope and micromanipulators supported by Department of Neurobiology of Third Military Medical University. Values from each biological replicate are all included. Ay, M. Beisel, K. Brain Res. Differential expression of KCNQ4 in inner hair cells and sensory neurons is the basis of progressive high-frequency hearing loss.

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