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Archer, K.J
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Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia
by
Archer
,
K.J
,
Zhang, Y.
Published 2021
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Related Subjects
Acute myeloid leukemia
Bayes Theorem
Bayes factor
Bayes theorem
Bayesian
Chemotherapy
Clustering algorithms
Diseases
Double exponential
European LeukemiaNet
European leukemianet
Gene expression
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LASSO
Leukemia, Myeloid, Acute
Penalized model
Penalized models
Prognosis
Response model
Risk Factors
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acute myeloid leukemia
genetics
human
prognosis
risk factor
treatment outcome
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