Network theory inspired analysis of time-resolved expression data reveals key players guiding P. patens stem cell development
18.04.2013
Busch H, Boerries M, Bao J, Hanke ST, Hiss M, Tiko T, Rensing SA.
PLoS One. 2013;8(4):e60494.
Transcription factors (TFs) often trigger developmental decisions, yet, their transcripts are often only moderately regulated and thus not easily detected by conventional statistics on expression data. Here we present a method that allows to determine such genes based on trajectory analysis of time-resolved transcriptome data. Our methodology is expected to aid analysis of key players of developmental decisions in complex plant and animal systems.
