A data mining paradigm for identifying key factors in biological processes using gene expression data.

ABSTRACT: A large volume of biological data is being generated for studying mechanisms of various biological processes. These precious data enable large-scale computational analyses to gain biological insights. However, it remains a challenge to mine the data efficiently for knowledge discovery. The heterogeneity of these data makes it difficult to consistently integrate them, slowing down the process of biological discovery. We introduce a data processing paradigm to identify key factors in biological processes via systematic collection of gene expression datasets, primary analysis of data, and evaluation of consistent signals. To demonstrate its effectiveness, our paradigm was applied to epidermal development and identified many genes that play a potential role in this process. Besides the known e

SUBMITTER: Li J 

PROVIDER: S-EPMC5998123 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature