A relative comparison between Hidden Markov- and Log-Linear- based models for differential expression analysis in a real time course RNA sequencing data
Fatemeh Gholizadeh, Zahra Salehi, Ali Mohammad Banaei‐Moghaddam, Abbas Rahimi Foroushani, Kaveh Kavousi
The paper compares EBSeq-HMM and multiDE models for differential expression analysis in time course RNA-seq data, finding multiDE identifies more benchmark DEGs and agrees better with them.
bioRxiv · Oct 22, 2018 · PreprintBioinformatics