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Bioinformatics (Oxford, England)|September 11, 2019
MeLAD: an integrated resource for metalloenzyme-ligand associationsGen Li, Yu Su, Yu-Hang Yan, et al.
Bioinformatics (Oxford, England)|September 11, 2019
DDAP: docking domain affinity and biosynthetic pathway prediction tool for type I polyketide synthasesTingyang Li, Ashootosh Tripathi, Fengan Yu, et al.
Bioinformatics (Oxford, England)|September 11, 2019
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learningJack Hanson, Thomas Litfin, Kuldip Paliwal, et al.
Bioinformatics (Oxford, England)|September 11, 2019
Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographsBlair J Rossetti, Steven A Wilbert, Jessica L Mark Welch, et al.
Bioinformatics (Oxford, England)|September 11, 2019
Accurate and efficient cell lineage tree inference from noisy single cell data: the maximum likelihood perfect phylogeny approachYufeng Wu
Bioinformatics (Oxford, England)|September 13, 2019
ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectraDai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Bioinformatics (Oxford, England)|September 13, 2019
Model-based optimization of subgroup weights for survival analysisJakob Richter, Katrin Madjar, Jörg Rahnenführer
Bioinformatics (Oxford, England)|September 13, 2019
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohortLei Du, Kefei Liu, Lei Zhu, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contextsSurag Nair, Daniel S Kim, Jacob Perricone, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Deep learning with multimodal representation for pancancer prognosis predictionAnika Cheerla, Olivier Gevaert
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