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ORCIDBioData Mining, Volume 17
Volume 17, Number 1, 2024
- Sandra Batista, Vered Madar, Philip J. Freda
, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore:
Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis. - Xiaohui Yao, Xiaohan Jiang, Haoran Luo, Hong Liang, Xiufen Ye, Yanhui Wei, Shan Cong:
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder. - Chih-Wei Chung, Seng-Cho Chou, Tzu-Hung Hsiao, Grace Joyce Zhang, Yu-Fang Chung, Yi-Ming Chen:
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records. - Burcu Yaldiz, Onur Erdogan, Sevda Rafatov, Cem Iyigün, Yesim Aydin Son:
Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies. - Regan Odongo, Asuman Demiroglu-Zergeroglu, Tunahan Çakir:
A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer. - Thanyawee Srithanyarat, Kittisak Taoma, Thana Sutthibutpong, Marasri Ruengjitchatchawalya, Monrudee Liangruksa, Teeraphan Laomettachit:
Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles. - Xiao-Ce Dai, Yi Yu, Si-Yu Zhou, Shuo Yu, Mei-Xiang Xiang, Hong Ma:
Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis. - Muhammad Taseer Suleman, Fahad Alturise, Tamim Alkhalifah, Yaser Daanial Khan:
m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models. - André Fonseca, Mikolaj Spytek, Przemyslaw Biecek, Clara Cordeiro, Nuno Sepúlveda:
Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data.
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