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Bioinformatics Advances|December 13, 2023
PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from pre-processing to deep and comprehensive analysisPaul Régnier, Cindy Marques, David Saadoun
Bioinformatics Advances|January 29, 2024
SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug-target interactionsXiaokun Li, Qiang Yang, Gongning Luo, et al.
Bioinformatics Advances|January 24, 2024
Joint regression analysis of multiple traits based on genetic relationshipsAnn-Sophie Buchardt, Xiang Zhou, Claus Thorn Ekstrøm
Bioinformatics Advances|January 12, 2024
Quantifying orthogonal barcodes for sequence census assaysA Sina Booeshaghi, Kyung Hoi Joseph Min, Jase Gehring, et al.
Bioinformatics Advances|January 12, 2024
DeepRank-GNN-esm: a graph neural network for scoring protein-protein models using protein language modelXiaotong Xu, Alexandre M J J Bonvin
Bioinformatics Advances|January 11, 2024
Seq2Phase: language model-based accurate prediction of client proteins in liquid-liquid phase separationKazuki Miyata, Wataru Iwasaki
Bioinformatics Advances|April 8, 2024
Quantitative transcriptomic and epigenomic data analysis: a primerLouis Coussement, Wim Van Criekinge, Tim De Meyer
Bioinformatics Advances|September 12, 2024
ginmappeR: an unified approach for integrating gene and protein identifiers across biological sequence databasesFernando Sola, Daniel Ayala, Marina Pulido, et al.
Bioinformatics Advances|September 30, 2024
SPIDER: constructing cell-type-specific protein-protein interaction networksYael Kupershmidt, Simon Kasif, Roded Sharan
Bioinformatics Advances|March 8, 2024
BioModME for building and simulating dynamic computational models of complex biological systemsJustin A Womack, Viren Shah, Said H Audi, et al.
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