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Briefings in Bioinformatics|June 22, 2022
Deepening the knowledge of rare diseases dependent on angiogenesis through semantic similarity clustering and network analysisRaquel Pagano-Márquez, José Córdoba-Caballero, Beatriz Martínez-Poveda, et al.
Briefings in Bioinformatics|June 20, 2022
Comparative analysis of machine learning algorithms on the microbial strain-specific AMP predictionBoris Vishnepolsky, Maya Grigolava, Grigol Managadze, et al.
Briefings in Bioinformatics|June 20, 2022
Generating and screening de novo compounds against given targets using ultrafast deep learning models as core componentsHaiping Zhang, Konda Mani Saravanan, Yang Yang, et al.
Briefings in Bioinformatics|June 26, 2022
Online in silico validation of disease and gene sets, clusterings or subnetworks with DIGESTKlaudia Adamowicz, Andreas Maier, Jan Baumbach, et al.
Briefings in Bioinformatics|June 26, 2022
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteriaRobson P Bonidia, Anderson P Avila Santos, Breno L S de Almeida, et al.
Briefings in Bioinformatics|June 26, 2022
TSNAPred: predicting type-specific nucleic acid binding residues via an ensemble approachWenjuan Nie, Lei Deng
Briefings in Bioinformatics|June 26, 2022
Pf-Phospho: a machine learning-based phosphorylation sites prediction tool for Plasmodium proteinsPriya Gupta, Sureshkumar Venkadesan, Debasisa Mohanty
Briefings in Bioinformatics|June 30, 2022
Associating pathways with diseases using single-cell expression profiles and making inferences about potential drugsMadhu Sharma, Indra Prakash Jha, Smriti Chawla, et al.
Briefings in Bioinformatics|July 6, 2022
Bioinformatics strategies for studying the molecular mechanisms of fungal extracellular vesicles with a focus on infection and immune responsesKandasamy Saravanakumar, Sugavaneswaran Siva Santosh, MohamedAli Afaan Ahamed, et al.
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