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SVmine improves structural variation detection by integrative mining of predictions from multiple algorithms., , , and . Bioinform., 33 (21): 3348-3354 (2017)Combinatorial regulation of transcription factors and microRNAs., , , and . BMC Syst. Biol., (2010)Correction to: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning., , , , , , , , , and . BMC Bioinform., 20 (1): 616:1-616:5 (2019)Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation., , , , , , and . CoRR, (2021)Direct interaction network inference for compositional data via codaloss., , , and . J. Bioinform. Comput. Biol., 18 (6): 2050037:1-2050037:26 (2020)An integrated approach to the prediction of domain-domain interactions., , , and . BMC Bioinform., (2006)scGAD: a new task and end-to-end framework for generalized cell type annotation and discovery., , and . Briefings Bioinform., (March 2023)scRMD: imputation for single cell RNA-seq data via robust matrix decomposition., , , , , and . Bioinform., 36 (10): 3156-3161 (2020)A Lasso regression model for the construction of microRNA-target regulatory networks., , , , and . Bioinform., 27 (17): 2406-2413 (2011)CIMON: Towards High-quality Hash Codes., , , , , , , and . CoRR, (2020)