Machine Learning Methods for Multi-Omics Data Integration

The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays. Large-scale data sets for multiple omics platforms, including genomics, transcriptomics, proteo...

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Bibliografiska uppgifter

Institutionell upphovsman:	SpringerLink (Online service)
Övriga upphovsmän:	Alkhateeb, Abedalrhman (Utgivare, redaktör, sammanställare), Rueda, Luis (Utgivare, redaktör, sammanställare)
Materialtyp:	Elektronisk E-bok
Språk:	engelska
Publicerad:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Upplaga:	1st ed. 2024.
Ämnen:	Bioinformatics. Machine learning. Data mining. Medical informatics. Machine Learning. Data Mining and Knowledge Discovery. Health Informatics. Computational and Systems Biology.
Länkar:	https://doi.org/10.1007/978-3-031-36502-7
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