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Bioinformatics Advances|January 17, 2022
LYRUS: a machine learning model for predicting the pathogenicity of missense variantsJiaying Lai, Jordan Yang, Ece D Gamsiz Uzun, et al.
Bioinformatics Advances|December 6, 2021
Dimensional reduction of phenotypes from 53 000 mouse models reveals a diverse landscape of gene functionTomasz Konopka, Letizia Vestito, Damian Smedley
Bioinformatics Advances|October 26, 2022
STtools: A Comprehensive Software Pipeline for Ultra-high Resolution Spatial Transcriptomics DataJingyue Xi, Jun Hee Lee, Hyun Min Kang, et al.
Bioinformatics Advances|November 4, 2022
Cosbin: cosine score-based iterative normalization of biologically diverse samplesChiung-Ting Wu, Minjie Shen, Dongping Du, et al.
Bioinformatics Advances|April 4, 2022
Gene and drug landing page aggregatorDaniel J B Clarke, Maxim V Kuleshov, Zhuorui Xie, et al.
Bioinformatics Advances|April 24, 2023
SAINT-Angle: self-attention augmented inception-inside-inception network and transfer learning improve protein backbone torsion angle predictionA K M Mehedi Hasan, Ajmain Yasar Ahmed, Sazan Mahbub, et al.
Bioinformatics Advances|April 10, 2023
Peak Pair Pruner: a post-processing software to MS-DIAL for peak pair validation and ratio quantification of isotopic labeling LC-MS(/MS) dataRyan A Smith, Qibin Zhang
Bioinformatics Advances|April 5, 2023
The Epilepsy Ontology: a community-based ontology tailored for semantic interoperability and text miningAstghik Sargsyan, Philipp Wegner, Stephan Gebel, et al.
Bioinformatics Advances|May 8, 2023
CREPE: a Shiny app for transcription factor cataloguingDiego A Rosado-Tristani, José A Rodríguez-Martínez
Bioinformatics Advances|April 28, 2023
ACDA: implementation of an augmented drug synergy prediction algorithmSergii Domanskyi, Emily L Jocoy, Anuj Srivastava, et al.
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