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Rashid et al., 2020 - Google Patents

Modeling between-study heterogeneity for improved replicability in gene signature selection and clinical prediction

Rashid et al., 2020

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Document ID
7063941473080195586
Author
Rashid N
Li Q
Yeh J
Ibrahim J
Publication year
Publication venue
Journal of the American Statistical Association

External Links

Snippet

In the genomic era, the identification of gene signatures associated with disease is of significant interest. Such signatures are often used to predict clinical outcomes in new patients and aid clinical decision-making. However, recent studies have shown that gene …
Continue reading at www.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

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    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
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