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Biodata Mining
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April 21, 2024
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES
Yuqi Zhang, Sijin Li, Weijie Wu, et al.
Biodata Mining
|
April 16, 2024
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes
Selcen Ari Yuka, Alper Yilmaz
Biodata Mining
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November 19, 2025
Computational prediction of cellular elastic modulus from mechanosensitive gene expression at multiple biological levels
Yanhong Xiong, Xiaoyan Zhou, Qi Wang
Biodata Mining
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November 29, 2025
Tree-based ensemble learning models for protein-protein interactions detection: a review and experimental evaluation
Kamal Taha
Biodata Mining
|
December 19, 2024
Exploring glioma heterogeneity through omics networks: from gene network discovery to causal insights and patient stratification
Nina Kastendiek, Roberta Coletti, Thilo Gross, et al.
Biodata Mining
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February 3, 2025
XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites
Salman Khan, Sumaiya Noor, Tahir Javed, et al.
Biodata Mining
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January 5, 2024
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records
Chih-Wei Chung, Seng-Cho Chou, Tzu-Hung Hsiao, et al.
Biodata Mining
|
December 15, 2023
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S
Tzong-Hann Yang, Yu-Fu Chen, Yen-Fu Cheng, et al.
Biodata Mining
|
November 28, 2023
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site
Guohua Huang, Xiaohong Huang, Wei Luo
Biodata Mining
|
November 24, 2023
Endoscopy-based IBD identification by a quantized deep learning pipeline
Massimiliano Datres, Elisa Paolazzi, Marco Chierici, et al.
Page
of 68
Search research articles
Search
Showing results (461-470 of 671) with videos related to
Sort By:
Page
of 68
Biodata Mining
|
April 21, 2024
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES
Yuqi Zhang, Sijin Li, Weijie Wu, et al.
Biodata Mining
|
April 16, 2024
Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes
Selcen Ari Yuka, Alper Yilmaz
Biodata Mining
|
November 19, 2025
Computational prediction of cellular elastic modulus from mechanosensitive gene expression at multiple biological levels
Yanhong Xiong, Xiaoyan Zhou, Qi Wang
Biodata Mining
|
November 29, 2025
Tree-based ensemble learning models for protein-protein interactions detection: a review and experimental evaluation
Kamal Taha
Biodata Mining
|
December 19, 2024
Exploring glioma heterogeneity through omics networks: from gene network discovery to causal insights and patient stratification
Nina Kastendiek, Roberta Coletti, Thilo Gross, et al.
Biodata Mining
|
February 3, 2025
XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites
Salman Khan, Sumaiya Noor, Tahir Javed, et al.
Biodata Mining
|
January 5, 2024
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records
Chih-Wei Chung, Seng-Cho Chou, Tzu-Hung Hsiao, et al.
Biodata Mining
|
December 15, 2023
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S
Tzong-Hann Yang, Yu-Fu Chen, Yen-Fu Cheng, et al.
Biodata Mining
|
November 28, 2023
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site
Guohua Huang, Xiaohong Huang, Wei Luo
Biodata Mining
|
November 24, 2023
Endoscopy-based IBD identification by a quantized deep learning pipeline
Massimiliano Datres, Elisa Paolazzi, Marco Chierici, et al.
Page
of 68