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Journal of Structural and Functional Genomics|July 3, 2003
Integration of genomic datasets to predict protein complexes in yeastRonald Jansen, Ning Lan, Jiang Qian, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Privacy-preserving Model Training for Disease Prediction Using Federated Learning with Differential PrivacyAmol Khanna, Vincent Schaffer, Gamze Gursoy, et al.Cell Reports. Physical Science|January 27, 2025
A variational graph-partitioning approach to modeling protein liquid-liquid phase separationGaoyuan Wang, Jonathan Warrell, Suchen Zheng, et al.Plos One|December 4, 2024
Deep learning analysis of fMRI data for predicting Alzheimer's Disease: A focus on convolutional neural networks and model interpretabilityXiao Zhou, Sanchita Kedia, Ran Meng, et al.Nature Communications|February 7, 2020
Estimating growth patterns and driver effects in tumor evolution from individual samplesLeonidas Salichos, William Meyerson, Jonathan Warrell, et al.Nature Communications|September 12, 2020
Predicting the frequencies of drug side effectsDiego Galeano, Shantao Li, Mark Gerstein, et al.Plos Computational Biology|November 30, 2011
Construction and analysis of an integrated regulatory network derived from high-throughput sequencing dataChao Cheng, Koon-Kiu Yan, Woochang Hwang, et al.Bioinformatics (Oxford, England)|May 13, 2022
Deep learning identifies and quantifies recombination hotspot determinantsYu Li, Siyuan Chen, Trisevgeni Rapakoulia, et al.Genome Research|February 21, 2019
New guidelines for DNA methylome studies regarding 5-hydroxymethylcytosine for understanding transcriptional regulationLe Li, Yuwei Gao, Qiong Wu, et al.International Journal of Data Mining and Bioinformatics|July 24, 2009
A semi-supervised approach to projected clustering with applications to microarray dataKevin Y Yip, Lin Cheung, David W Cheung, et al.Pageof 182