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A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology

https://doi.org/10.1093/bfgp/elae013
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85/85 checkable references clean · checked 2026-08-07

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

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The 11 references without a DOI — listed, not checked
no DOI — not checkedSingle-cell multiomics: technologies and data analysis methods
no DOI — not checkedSeq-well: portable, low-cost rna sequencing of single cells at high throughput
no DOI — not checkedFull-length rna-seq from single cells using smart-seq2
no DOI — not checkedMulti-omics data integration using cross-modal neural networks
no DOI — not checkedIntegration of multi-omics data for gene regulatory network inference and application to breast cancer
no DOI — not checkedDeepprog: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
no DOI — not checkedA nmf based approach for integrating multiple data sources to predict hiv-1-human ppis
no DOI — not checkedDiscovering perturbation of modular structure in hiv progression by integrating multiple data sources through non-negative matrix factorization
no DOI — not checkedOncokb: a precision oncology knowledge base
no DOI — not checkedArtificial intelligence for precision oncology: beyond patient stratification
no DOI — not checkedNetwork medicine for patients’ stratification: from single-layer to multi-omics
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