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Frontiers in Genetics
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October 10, 2024
Editorial: Application of novel statistical and machine-learning methods to high-dimensional clinical cancer and (multi-) omics data volume II
Chao Xu, Shaolong Cao, Md Ashad Alam
Frontiers in Genetics
|
August 30, 2021
Editorial: Application of Novel Statistical and Machine-Learning Methods to High-Dimensional Clinical Cancer and (Multi-)Omics Data
Chao Xu, Shaolong Cao, Md Ashad Alam
Neurocomputing
|
November 13, 2018
Influence Function and Robust Variant of Kernel Canonical Correlation Analysis
Md Ashad Alam, Kenji Fukumizu, Yu-Ping Wang
Journal of Computer-Aided Molecular Design
|
January 4, 2021
IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations
Md Mehedi Hasan, Md Ashad Alam, Watshara Shoombuatong, et al.
Journal of Biomedical Informatics
|
July 8, 2021
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis
Md Ashad Alam, Chuan Qiu, Hui Shen, et al.
Plos One
|
May 24, 2019
Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data
Md Ashad Alam, Mohammd Shahjaman, Md Ferdush Rahman, et al.
Methods (San Diego, Calif.)
|
April 26, 2024
Multi-omics data integration and drug screening of AML cancer using Generative Adversarial Network
Sabrin Afroz, Nadira Islam, Md Ahsan Habib, et al.
Journal of Bioinformatics and Computational Biology
|
October 17, 2019
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics
Md Ashad Alam, Osamu Komori, Hong-Wen Deng, et al.
Briefings in Bioinformatics
|
May 11, 2021
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
Md Mehedi Hasan, Md Ashad Alam, Watshara Shoombuatong, et al.
Journal of Neuroscience Methods
|
September 6, 2018
A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia
Md Ashad Alam, Hui-Yi Lin, Hong-Wen Deng, et al.
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Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Frontiers in Genetics
|
October 10, 2024
Editorial: Application of novel statistical and machine-learning methods to high-dimensional clinical cancer and (multi-) omics data volume II
Chao Xu, Shaolong Cao, Md Ashad Alam
Frontiers in Genetics
|
August 30, 2021
Editorial: Application of Novel Statistical and Machine-Learning Methods to High-Dimensional Clinical Cancer and (Multi-)Omics Data
Chao Xu, Shaolong Cao, Md Ashad Alam
Neurocomputing
|
November 13, 2018
Influence Function and Robust Variant of Kernel Canonical Correlation Analysis
Md Ashad Alam, Kenji Fukumizu, Yu-Ping Wang
Journal of Computer-Aided Molecular Design
|
January 4, 2021
IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations
Md Mehedi Hasan, Md Ashad Alam, Watshara Shoombuatong, et al.
Journal of Biomedical Informatics
|
July 8, 2021
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis
Md Ashad Alam, Chuan Qiu, Hui Shen, et al.
Plos One
|
May 24, 2019
Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data
Md Ashad Alam, Mohammd Shahjaman, Md Ferdush Rahman, et al.
Methods (San Diego, Calif.)
|
April 26, 2024
Multi-omics data integration and drug screening of AML cancer using Generative Adversarial Network
Sabrin Afroz, Nadira Islam, Md Ahsan Habib, et al.
Journal of Bioinformatics and Computational Biology
|
October 17, 2019
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics
Md Ashad Alam, Osamu Komori, Hong-Wen Deng, et al.
Briefings in Bioinformatics
|
May 11, 2021
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
Md Mehedi Hasan, Md Ashad Alam, Watshara Shoombuatong, et al.
Journal of Neuroscience Methods
|
September 6, 2018
A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia
Md Ashad Alam, Hui-Yi Lin, Hong-Wen Deng, et al.
Page
of 2