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Briefings in Bioinformatics|April 3, 2025
DOMSCNet: a deep learning model for the classification of stomach cancer using multi-layer omics dataKasmika Borah, Himanish Shekhar Das, Ram Kaji Budhathoki, et al.
Briefings in Bioinformatics|June 6, 2023
A Bayesian approach to estimate MHC-peptide binding thresholdRan Liu, Ye-Fan Hu, Jian-Dong Huang, et al.
Briefings in Bioinformatics|May 26, 2023
ProgCAE: a deep learning-based method that integrates multi-omics data to predict cancer subtypesQingchun Liu, Kai Song
Briefings in Bioinformatics|February 23, 2026
MCPmed: a call for Model Context Protocol-enabled bioinformatics web services for LLM-driven discoveryMatthias Flotho, Ian Ferenc Diks, Philipp Flotho, et al.
Briefings in Bioinformatics|February 23, 2026
Revealing shared molecular markers and mechanisms in colorectal cancer and COVID-19 through bioinformatics and machine learningHairui Wang, Haodong Yao, Wenchao Niu, et al.
Briefings in Bioinformatics|March 16, 2026
Computational identification of lineage-committed precursors in mammalian organogenesis reveals a novel hematopoietic enhancer regulating Bhlhe41 expressionLihui Jin, Zhenyuan Han, Rebecca Hannah, et al.
Briefings in Bioinformatics|March 6, 2026
Castl: robust identification of spatially variable genes in spatial transcriptomics via an ensemble-based frameworkYiyi Yu, Jiyuan Yang, Ping-An He, et al.
Briefings in Bioinformatics|March 6, 2026
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learningHe Wang, Yikun Zhang, Jie Chen, et al.
Briefings in Bioinformatics|February 26, 2026
Artificial Intelligence agents for biological research: a surveyCong Qi, Wenbo Wang, Siqi Jiang, et al.
Briefings in Bioinformatics|February 19, 2026
An unsupervised method for spatial transcriptomics analysis based on adversarial autoencoderWei Lan, Guohang He, Lingzhi Zhu, et al.
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