BioData mining

Keyphrases

Publications

volume 17, number 1, 2024

Yuqi Zhang, Sijin Li, Weijie Wu, Yanqing Zhao, Jintao Han, Chao Tong, Niansang Luo, Kun Zhang
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES. BioData mining 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 mining 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 mining 17 (1) (2024)
Carolina Del-Valle-Soto, Ramon A Briseño, Leonardo J Valdivia, Juan Arturo Nolazco-Flores
Unveiling wearables: exploring the global landscape of biometric applications and vital signs and behavioral impact. BioData mining 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 mining 17 (1) (2024)
Jia-Ming Huan, Xiao-Jie Wang, Yuan Li, Shi-Jun Zhang, Yuan-Long Hu, Yun-Lun Li
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data. BioData mining 17 (1) (2024)
Selcen Ari Yuka, Alper Yilmaz
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes. BioData mining 17 (1) (2024)
Selcen Ari Yuka, Alper Yilmaz
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes. BioData mining 17 (1) (2024)
Regan Odongo, Asuman Demiroglu-Zergeroglu, Tunahan Çakır
A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer. BioData mining 17 (1) (2024)
Regan Odongo, Asuman Demiroglu-Zergeroglu, Tunahan Çakır
A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer. BioData mining 17 (1) (2024)
Zhiping Paul Wang, Priyanka Bhandary, Yizhou Wang, Jason H Moore
Using GPT-4 to write a scientific review article: a pilot evaluation study. BioData mining 17 (1) (2024)
André Fonseca, Mikolaj Spytek, Przemysław Biecek, Clara Cordeiro, Nuno Sepúlveda
Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data. BioData mining 17 (1) (2024)
Mohammed Abo-Zahhad, Ahmed H Abd El-Malek, Mohammed S Sayed, Susan Njeri Gitau
Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review. BioData mining 17 (1) (2024)
Jia-Ming Huan, Xiao-Jie Wang, Yuan Li, Shi-Jun Zhang, Yuan-Long Hu, Yun-Lun Li
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data. BioData mining 17 (1) (2024)
Carolina Del-Valle-Soto, Ramon A Briseño, Leonardo J Valdivia, Juan Arturo Nolazco-Flores
Unveiling wearables: exploring the global landscape of biometric applications and vital signs and behavioral impact. BioData mining 17 (1) (2024)
Yuqi Zhang, Sijin Li, Weijie Wu, Yanqing Zhao, Jintao Han, Chao Tong, Niansang Luo, Kun Zhang
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES. BioData mining 17 (1) (2024)
Selcen Ari Yuka, Alper Yilmaz
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes. BioData mining 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 mining 17 (1) (2024)
Yuqi Zhang, Sijin Li, Weijie Wu, Yanqing Zhao, Jintao Han, Chao Tong, Niansang Luo, Kun Zhang
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES. BioData mining 17 (1) (2024)
Regan Odongo, Asuman Demiroglu-Zergeroglu, Tunahan Çakır
A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer. BioData mining 17 (1) (2024)
Sandra Batista, Vered Senderovich 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 mining 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 mining 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 mining 17 (1) (2024)
Burcu Yaldız, Onur Erdoğan, Sevda Rafatov, Cem Iyigün, Yeşim Aydın Son
Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies. BioData mining 17 (1) (2024)
Burcu Yaldız, Onur Erdoğan, Sevda Rafatov, Cem Iyigün, Yeşim Aydın Son
Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies. BioData mining 17 (1) (2024)
Mohammed Abo-Zahhad, Ahmed H Abd El-Malek, Mohammed S Sayed, Susan Njeri Gitau
Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review. BioData mining 17 (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 mining 17 (1) (2024)
Yusuf Brima, Marcellin Atemkeng
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis. BioData mining 17 (1) (2024)
Zhiping Paul Wang, Priyanka Bhandary, Yizhou Wang, Jason H Moore
Using GPT-4 to write a scientific review article: a pilot evaluation study. BioData mining 17 (1) (2024)
Yusuf Brima, Marcellin Atemkeng
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis. BioData mining 17 (1) (2024)
Yeongmin Kim, Wongyung Choi, Woojeong Choi, Grace Ko, Seonggyun Han, Hwan-Cheol Kim, Dokyoon Kim, Dong-Gi Lee, Dong Wook Shin, Younghee Lee
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records. BioData mining 17 (1) (2024)
Yeongmin Kim, Wongyung Choi, Woojeong Choi, Grace Ko, Seonggyun Han, Hwan-Cheol Kim, Dokyoon Kim, Dong-Gi Lee, Dong Wook Shin, Younghee Lee
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records. BioData mining 17 (1) (2024)
Jia-Ming Huan, Xiao-Jie Wang, Yuan Li, Shi-Jun Zhang, Yuan-Long Hu, Yun-Lun Li
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data. BioData mining 17 (1) (2024)
Yunfei Yin, Zheng Yuan, Islam Md Tanvir, Xianjian Bao
Electronic medical records imputation by temporal Generative Adversarial Network. BioData mining 17 (1) (2024)
Yuqi Zhang, Sijin Li, Weijie Wu, Yanqing Zhao, Jintao Han, Chao Tong, Niansang Luo, Kun Zhang
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES. BioData mining 17 (1) (2024)
Jianchang Hu, Silke Szymczak
Evaluation of network-guided random forest for disease gene discovery. BioData mining 17 (1) (2024)
Jianchang Hu, Silke Szymczak
Evaluation of network-guided random forest for disease gene discovery. BioData mining 17 (1) (2024)
Selcen Ari Yuka, Alper Yilmaz
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes. BioData mining 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 mining 17 (1) (2024)
Jianchang Hu, Silke Szymczak
Evaluation of network-guided random forest for disease gene discovery. BioData mining 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 mining 17 (1) (2024)
Yunfei Yin, Zheng Yuan, Islam Md Tanvir, Xianjian Bao
Electronic medical records imputation by temporal Generative Adversarial Network. BioData mining 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 mining 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 mining 17 (1) (2024)
Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding, Yaotan Li, Baoluo Hou, Yuxin Hu, Zhaoxi Dong, Jingyi Tang, Hongfang Liu, Weijing Liu
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis. BioData mining 17 (1) (2024)
Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding, Yaotan Li, Baoluo Hou, Yuxin Hu, Zhaoxi Dong, Jingyi Tang, Hongfang Liu, Weijing Liu
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis. BioData mining 17 (1) (2024)
Sandra Batista, Vered Senderovich 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 mining 17 (1) (2024)
Burcu Yaldız, Onur Erdoğan, Sevda Rafatov, Cem Iyigün, Yeşim Aydın Son
Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies. BioData mining 17 (1) (2024)
André Fonseca, Mikolaj Spytek, Przemysław Biecek, Clara Cordeiro, Nuno Sepúlveda
Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data. BioData mining 17 (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 mining 17 (1) (2024)