Papers: 10.1093/bib/bbx149
https://doi.org/10.1093/bib/bbx149
Developing a ‘personalome’ for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes
Cited by: 20
Author(s): Francesca Vitali, Haiquan Li, A. Grant Schissler, Joanne Berghout, Colleen Kenost, Yves A. Lussier
Published: over 8 years ago
Software Mentions 3
bioconductor: DEGseq
Identify Differentially Expressed Genes from RNA-seq dataPapers that mentioned: 697
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
Very Likely Science (65)