BioData Min.

Keyphrases

Publications

volume 17, number 1, 2024

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. BioData Min. 17 (1) (2024)
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. BioData Min. 17 (1) (2024)
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. BioData Min. 17 (1) (2024)
Xiaohui Yao, Xiaohan Jiang, Haoran Luo, Hong Liang, Xiufen Ye, Yanhui Wei, Shan Cong
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder. BioData Min. 17 (1) (2024)
Muhammad Taseer Suleman, Fahad Alturise, Tamim Alkhalifah, Yaser Daanial Khan
m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models. BioData Min. 17 (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. BioData Min. 17 (1) (2024)
Regan Odongo, Asuman Demiroglu-Zergeroglu, Tunahan Çakir
A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer. BioData Min. 17 (1) (2024)
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. BioData Min. 17 (1) (2024)
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. BioData Min. 17 (1) (2024)

volume 16, number 1, 2023

volume 15, number 1, 2022