EcmPred: Prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection

Krishna Kumar Umar Kandaswamy, Pugalenthi Ganesan, Kai Uwe Kalies, Enno Hartmann, Thomas M. Martinetz

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Fingerprint

Dive into the research topics of 'EcmPred: Prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection'. Together they form a unique fingerprint.

Biochemistry, Genetics and Molecular Biology