Integrative analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: a non-linear model to predict abundance of undetected proteins
Work
Year: 2009
Type: article
Abstract: Gene expression profiling technologies can generally produce mRNA abundance data for all genes in a genome. A dearth of proteomic data persists because identification range and sensitivity of proteomi... more
Source: Bioinformatics
Authors Wandaliz Torres‐García, Weiwen Zhang, George C. Runger, Roger H. Johnson, Deirdre R. Meldrum
Institution Arizona State University
Cites: 39
Cited by: 37
Related to: 10
FWCI: 1.449
Citation percentile (by year/subfield): 87.28
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: bronze