6533b836fe1ef96bd12a097e

RESEARCH PRODUCT

Boosting Signal-to-Noise in Complex Biology: Prior Knowledge Is Power

Trey IdekerJanusz DutkowskiLeroy Hood

subject

0303 health sciencesLandmarkBoosting (machine learning)Biochemistry Genetics and Molecular Biology(all)business.industryBiologyMachine learningcomputer.software_genreBioinformaticsGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicine030220 oncology & carcinogenesisIntegratorArtificial intelligencebusinesscomputerImplementation030304 developmental biology

description

A major difficulty in the analysis of complex biological systems is dealing with the low signal-to-noise inherent to nearly all large biological datasets. We discuss powerful bioinformatic concepts for boosting signal-to-noise through external knowledge incorporated in processing units we call filters and integrators. These concepts are illustrated in four landmark studies that have provided model implementations of filters, integrators, or both.

yearjournalcountryeditionlanguage
2011-03-01Cell
https://doi.org/10.1016/j.cell.2011.03.007