Machine learning and complex biological data

Machine learning has demonstrated potential in analyzing large, complex biological data. In practice, however, biological information is required in addition to machine learning for successful application.

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Bibliographische Detailangaben
Veröffentlicht in:	Genome Biology 2019-04, Vol.20 (1), p.76-76, Article 76
Hauptverfasser:	Xu, Chunming, Jackson, Scott A
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Artificial intelligence Biology Chromatography Computational Biology computer analysis data analysis Data Mining Data processing Deoxyribonucleic acid DNA DNA methylation Forecasts and trends Gene expression Genetics genome Genomes Genomics Humans Information management Learning algorithms Machine Learning Mass spectrometry Methods Neural networks NMR Nuclear magnetic resonance Principal components analysis Researchers Scientific imaging Technology
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Beschreibung
Zusammenfassung:	Machine learning has demonstrated potential in analyzing large, complex biological data. In practice, however, biological information is required in addition to machine learning for successful application.
ISSN:	1474-760X 1474-7596 1474-760X
DOI:	10.1186/s13059-019-1689-0