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Genomics, Proteomics & Bioinformatics|December 7, 2019
Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAsNicole Ludwig, Tobias Fehlmann, Fabian Kern, et al.Genomics, Proteomics & Bioinformatics|December 12, 2018
RNF126 Quenches RNF168 Function in the DNA Damage ResponseLianzhong Zhang, Zhenzhen Wang, Ruifeng Shi, et al.Genomics, Proteomics & Bioinformatics|November 26, 2019
I3: A Self-organising Learning Workflow for Intuitive Integrative Interpretation of Complex Genetic DataYun Tan, Lulu Jiang, Kankan Wang, et al.Genomics, Proteomics & Bioinformatics|January 15, 2019
Discovery of Novel Androgen Receptor Ligands by Structure-based Virtual Screening and BioassaysWenfang Zhou, Mojie Duan, Weitao Fu, et al.Genomics, Proteomics & Bioinformatics|December 17, 2018
GITAR: An Open Source Tool for Analysis and Visualization of Hi-C DataRiccardo Calandrelli, Qiuyang Wu, Jihong Guan, et al.Genomics, Proteomics & Bioinformatics|December 22, 2018
VASC: Dimension Reduction and Visualization of Single-cell RNA-seq Data by Deep Variational AutoencoderDongfang Wang, Jin GuGenomics, Proteomics & Bioinformatics|August 31, 2020
HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site PredictionWanshan Ning, Haodong Xu, Peiran Jiang, et al.Genomics, Proteomics & Bioinformatics|May 13, 2006
LZ complexity distance of DNA sequences and its application in phylogenetic tree reconstructionBin Li, Yi Bing Li, Hong Bo HeGenomics, Proteomics & Bioinformatics|May 13, 2006
Prediction and classification of human G-protein coupled receptors based on support vector machinesYun Fei Wang, Huan Chen, Yan Hong ZhouGenomics, Proteomics & Bioinformatics|May 13, 2006
VICMpred: an SVM-based method for the prediction of functional proteins of Gram-negative bacteria using amino acid patterns and compositionSudipto Saha, G P S RaghavaPageof 121