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Research
Dr. Alam’s research focuses on the integrated analysis of multi-view data in biomedical applications, including projects which aim to reveal new fundamental biological insights of complex diseases and those centered on more clinical applications.
Statistical machine learning: dimensionality reduction, feature selection, non-parametric models, and inference methods for integrative analyses of multi-omics biomedical data including genome, epigenome, transcriptome, proteome, metabolome, lipidome, and medical image of complex diseases.
As a statistical scientist, Dr. Alam’s research interests are in the areas of theoretical and computational aspects of data science, including statistical machine learning, deep learning, robust statistics, and adversarial machine learning.
Dr. Alam’s research focuses on the integrated analysis of multi-view data in biomedical applications, including projects which aim to reveal new fundamental biological insights of complex diseases and those centered on more clinical applications.
Statistical machine learning: dimensionality reduction, feature selection, non-parametric models, and inference methods for integrative analyses of multi-omics biomedical data including genome, epigenome, transcriptome, proteome, metabolome, lipidome, and medical image of complex diseases.
As a statistical scientist, Dr. Alam’s research interests are in the areas of theoretical and computational aspects of data science, including statistical machine learning, deep learning, robust statistics, and adversarial machine learning.
研究兴趣
论文共 44 篇作者统计合作学者相似作者
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Cancer Researchno. 6_Supplement (2024): 4968-4968
Alzheimer's Research & Therapyno. 1 (2024): 8-8
HUMAN MOLECULAR GENETICSno. 22 (2023): 3181-3193
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Biological Psychiatryno. 9 (2022): S107-S108
SSRN Electronic Journal (2022)
Biological Psychiatryno. 9 (2022): S62-S63
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