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BMC Bioinformatics|December 26, 2019
Dynamically characterizing individual clinical change by the steady state of disease-associated pathwayShaoyan Sun, Xiangtian Yu, Fengnan Sun, et al.BMC Bioinformatics|December 25, 2019
Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorizationJiang Huang, Min Wu, Fan Lu, et al.BMC Bioinformatics|December 25, 2019
MADOKA: an ultra-fast approach for large-scale protein structure similarity searchingLei Deng, Guolun Zhong, Chenzhe Liu, et al.BMC Bioinformatics|December 25, 2019
An automated 3D modeling pipeline for constructing 3D models of MONOGENEAN HARDPART using machine learning techniquesBee Guan Teo, Sarinder Kaur DhillonBMC Bioinformatics|December 29, 2019
DeepMF: deciphering the latent patterns in omics profiles with a deep learning methodLingxi Chen, Jiao Xu, Shuai Cheng LiBMC Bioinformatics|December 29, 2019
ki67 nuclei detection and ki67-index estimation: a novel automatic approach based on human vision modelingBarbara Rita Barricelli, Elena Casiraghi, Jessica Gliozzo, et al.BMC Bioinformatics|December 29, 2019
Transcription factor regulatory modules provide the molecular mechanisms for functional redundancy observed among transcription factors in yeastTzu-Hsien YangBMC Bioinformatics|December 29, 2019
Biomedical named entity recognition using deep neural networks with contextual informationHyejin Cho, Hyunju LeeBMC Bioinformatics|January 1, 2020
ZDOG: zooming in on dominating genes with mutations in cancer pathwaysRudi Alberts, Jinyu Chen, Louxin ZhangPageof 1,248