Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53

Junbai Wang, Tianhai Tian

Research output: Contribution to journalArticleResearchpeer-review

20 Citations (Scopus)

Abstract

The availability of various omics datasets creates a prospect of performing the study of genome-wide genetic regulatory networks. However, one of the major challenges of using mathematical models to infer genetic regulation from microarray datasets is the lack of information for protein concentrations and activities. Most of the previous researches were based on an assumption that the mRNA levels of a gene are consistent with its protein activities, though it is not always the case. Therefore, a more sophisticated modelling framework together with the corresponding inference methods is needed to accurately estimate genetic regulation from omics datasets.
Original languageEnglish
Pages (from-to)1 - 12
Number of pages12
JournalBMC Bioinformatics
Volume11
Issue number36
DOIs
Publication statusPublished - 2010

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