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Bioinformatics (Oxford, England)|June 27, 2022
Topsy-Turvy: integrating a global view into sequence-based PPI predictionRohit Singh, Kapil Devkota, Samuel Sledzieski, et al.Bioinformatics (Oxford, England)|June 27, 2022
BITES: balanced individual treatment effect for survival dataS Schrod, A Schäfer, S Solbrig, et al.Bioinformatics (Oxford, England)|June 27, 2022
An approachable, flexible and practical machine learning workshop for biologistsChris S Magnano, Fangzhou Mu, Rosemary S Russ, et al.Bioinformatics (Oxford, England)|June 27, 2022
MLGL-MP: a Multi-Label Graph Learning framework enhanced by pathway interdependence for Metabolic Pathway predictionBing-Xue Du, Peng-Cheng Zhao, Bei Zhu, et al.Bioinformatics (Oxford, England)|June 27, 2022
SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug-drug interactionsDuc Anh Nguyen, Canh Hao Nguyen, Peter Petschner, et al.Bioinformatics (Oxford, England)|June 27, 2022
Scaling multi-instance support vector machine to breast cancer detection on the BreaKHis datasetHoon Seo, Lodewijk Brand, Lucia Saldana Barco, et al.Bioinformatics (Oxford, England)|June 27, 2022
DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 functional and endogenous on-target editing efficiencyShai Elkayam, Yaron OrensteinBioinformatics (Oxford, England)|June 27, 2022
The effect of genome graph expressiveness on the discrepancy between genome graph distance and string set distanceYutong Qiu, Carl KingsfordBioinformatics (Oxford, England)|June 27, 2022
MeConcord: a new metric to quantitatively characterize DNA methylation heterogeneity across reads and CpG sitesXianglin Zhang, Xiaowo WangBioinformatics (Oxford, England)|June 27, 2022
DECODE: a computational pipeline to discover T cell receptor binding rulesIliana Papadopoulou, An-Phi Nguyen, Anna Weber, et al.Pageof 1,924