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0
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Comparative review of artificial intelligence for transcriptomic biomarker discovery in coronavirus disease 2019 (COVID-19).
(academic.oup.com)
|
Khoo LY
…
Dhillon SK
Briefings in Bioinformatics
2026-05-04
|
#covid-19
#transcriptomics
#machine learning
#biomarker
#classification
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0
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From association to causation: a decision-aware framework for reproducible biomarker discovery and precision intervention design in the human gut microbiome.
(academic.oup.com)
|
Ascandari A
…
Rachid D
Briefings in Bioinformatics
2026-05-04
|
#microbiome
#metagenomics
#cancer
#biomarker
#causal inference
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0
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Decoding disease and therapy through multiomics integration and systems analysis.
(academic.oup.com)
|
Mathew MJ
…
Zagury JF
Briefings in Bioinformatics
2026-05-04
|
#machine learning
#multi-omics
#integration
#biomarker
#precision medicine
|
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0
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Decoding causal m6A: a bioinformatics roadmap for psychiatric disorders.
(academic.oup.com)
|
Liu S
…
Moraros J
Briefings in Bioinformatics
2026-05-04
|
#bioinformatics
#epigenomics
#biomarker
#causal inference
#psychiatric
|
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0
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Benchmarking computational methods for multi-omics biomarker discovery in cancer.
(academic.oup.com)
|
Li AZ
…
Liu R
Briefings in Bioinformatics
2026-05-04
|
#cancer
#machine learning
#multi-omics
#biomarker
#prognosis
|
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0
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Statistical knockoffs improve biomarker discovery from transcriptomic data.
(academic.oup.com)
|
Cartier J
…
Massip F
Briefings in Bioinformatics
2026-05-04
|
#transcriptomics
#biomarker
#classification
#variable selection
#false discovery rate
|
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0
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ssNetShift: single-sample metabolic network rewiring reveals hidden prognostic subtypes beyond clinical staging in gastric cancer.
(academic.oup.com)
|
Lin G
…
Raftery D
Briefings in Bioinformatics
2026-05-04
|
#modeling
#metabolism
#cancer
#biomarker
#heterogeneity
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