Quantitative analysis of high‐throughput biological data

The study of multiple “omes,” such as the genome, transcriptome, proteome, and metabolome has become widespread in biomedical research. High‐throughput techniques enable the rapid generation of high‐dimensional multiomics data. This multiomics approach provides a more complete perspective to study b...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Wiley interdisciplinary reviews. Computational molecular science Ročník 13; číslo 4; s. e1658 - n/a
Hlavní autori:	Juan, Hsueh‐Fen, Huang, Hsuan‐Cheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA Wiley Periodicals, Inc 01.07.2023 Wiley Subscription Services, Inc
Predmet:	Analysis Artificial intelligence Biological data biological network Biomedical data Data analysis data integration Data science Genomes Machine learning Medical research multiomics data Network analysis Proteomes Proteomics Quantitative analysis single‐cell transcriptomics Transcriptomes Transcriptomics
ISSN:	1759-0876, 1759-0884
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!