A Bayesian Model Selection Approach for Identifying Differentially Expressed Transcripts from RNA Sequencing Data
A Bayesian Model Selection Approach for Identifying Differentially Expressed Transcripts from RNA Sequencing Data
Recent advances in molecular biology allow the quantification of the transcriptome and scoring transcripts as differentially or equally expressed between two biological conditions. Although these two tasks are closely linked, the available inference methods treat them separately: a primary model is used to estimate expression and its output is post-processed …