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Md Asad Rahman

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Frontiers in Genetics|October 16, 2023
A genome-wide association study coupled with machine learning approaches to identify influential demographic and genomic factors underlying Parkinson's diseaseMd Asad Rahman, Jinling Liu
Genetic Epidemiology|June 27, 2026
Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's DiseaseJin Ren, Yasaman J Soofi, Md Asad Rahman, et al.
Briefings in Bioinformatics|September 21, 2025
IBI-DT: a novel approach combining individualized Bayesian inference and decision tree for identifying cancer drivers and their interactionsMd Asad Rahman, Gregory F Cooper, Jinying Zhao, et al.
BMC Genomics|November 7, 2023
An individualized Bayesian method for estimating genomic variants of hypertensionMd Asad Rahman, Chunhui Cai, Na Bo, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Frontiers in Genetics|October 16, 2023
A genome-wide association study coupled with machine learning approaches to identify influential demographic and genomic factors underlying Parkinson's diseaseMd Asad Rahman, Jinling Liu
Genetic Epidemiology|June 27, 2026
Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's DiseaseJin Ren, Yasaman J Soofi, Md Asad Rahman, et al.
Briefings in Bioinformatics|September 21, 2025
IBI-DT: a novel approach combining individualized Bayesian inference and decision tree for identifying cancer drivers and their interactionsMd Asad Rahman, Gregory F Cooper, Jinying Zhao, et al.
BMC Genomics|November 7, 2023
An individualized Bayesian method for estimating genomic variants of hypertensionMd Asad Rahman, Chunhui Cai, Na Bo, et al.
Pageof 1