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BMC Bioinformatics|December 22, 2019
Challenges in proteogenomics: a comparison of analysis methods with the case study of the DREAM proteogenomics sub-challengeTara Eicher, Andrew Patt, Esko Kautto, et al.BMC Bioinformatics|December 26, 2019
Ranking near-native candidate protein structures via random forest classificationHongjie Wu, Hongmei Huang, Weizhong Lu, et al.BMC Bioinformatics|December 26, 2019
DEEPSEN: a convolutional neural network based method for super-enhancer predictionHongda Bu, Jiaqi Hao, Yanglan Gan, et al.BMC Bioinformatics|December 26, 2019
GPRED-GC: a Gene PREDiction model accounting for 5 <sup>'</sup>- 3<sup>'</sup> GC gradientPrapaporn Techa-Angkoon, Kevin L Childs, Yanni SunBMC Bioinformatics|December 26, 2019
Learning misclassification costs for imbalanced classification on gene expression dataHuijuan Lu, Yige Xu, Minchao Ye, et al.BMC Bioinformatics|December 26, 2019
Detecting overlapping protein complexes in weighted PPI network based on overlay network chain in quotient spaceJie Zhao, Xiujuan LeiBMC Bioinformatics|December 26, 2019
Mild cognitive impairment understanding: an empirical study by data-driven approachLiyuan Liu, Bingchen Yu, Meng Han, et al.BMC Bioinformatics|December 26, 2019
RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associationsZhen Cui, Jin-Xing Liu, Ying-Lian Gao, et al.BMC Bioinformatics|December 26, 2019
Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence dataNeo Christopher Chung, BłaŻej Miasojedow, Michał Startek, et al.BMC Bioinformatics|December 26, 2019
Accurate classification of membrane protein types based on sequence and evolutionary information using deep learningLei Guo, Shunfang Wang, Mingyuan Li, et al.Pageof 1,243