TY - JOUR T1 - Tradict enables accurate prediction of eukaryotic transcriptional states from 100 marker genes JF - bioRxiv DO - 10.1101/060111 SP - 060111 AU - Surojit Biswas AU - Konstantin Kerner AU - Paulo José Pereira Lima Teixeira AU - Jeffery L. Dangl AU - Vladimir Jojic AU - Philip A. Wigge Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/10/11/060111.abstract N2 - Transcript levels are a critical determinant of the proteome and hence cellular function. Because the transcriptome is an outcome of the interactions between genes and their products, it may be accurately represented by a subset of transcript abundances. We developed a method, Tradict (transcriptome predict), capable of learning and using the expression measurements of a small subset of 100 marker genes to predict transcriptome-wide gene abundances and the expression of a comprehensive, but interpretable list of transcriptional programs that represent the major biological processes and pathways of the cell. By analyzing over 23,000 publicly available RNA-Seq datasets, we show that Tradict is robust to noise and accurate. Coupled with targeted RNA sequencing, Tradict may therefore enable simultaneous transcriptome-wide screening and mechanistic investigation at large scales. ER -