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Briefings in Bioinformatics|August 4, 2023
HEAP: a task adaptive-based explainable deep learning framework for enhancer activity predictionYuhang Liu, Zixuan Wang, Hao Yuan, et al.Briefings in Bioinformatics|May 26, 2023
Integrating massive RNA-seq data to elucidate transcriptome dynamics in Drosophila melanogasterSheng Hu Qian, Meng-Wei Shi, Dan-Yang Wang, et al.Briefings in Bioinformatics|June 6, 2023
scDFC: A deep fusion clustering method for single-cell RNA-seq dataDayu Hu, Ke Liang, Sihang Zhou, et al.Briefings in Bioinformatics|June 6, 2023
MATTE: a pipeline of transcriptome module alignment for anti-noise phenotype-gene-related analysisGuoxin Cai, Wenyi Zhao, Zhan Zhou, et al.Briefings in Bioinformatics|May 30, 2023
DCiPatho: deep cross-fusion networks for genome scale identification of pathogensGaofei Jiang, Jiaxuan Zhang, Yaozhong Zhang, et al.Briefings in Bioinformatics|February 23, 2026
A two-stage GAN-based instrumental variable method for causal analysis of omics dataYuan Zhou, Pei Geng, Shan Zhang, et al.Briefings in Bioinformatics|February 26, 2026
Towards accurate artificial intelligence models for strain-level phage-host predictionChris J Malajczuk, Andrew Vaitekenas, Joshua J Iszatt, et al.Briefings in Bioinformatics|March 8, 2026
Finding Significant Hits in Networks: a network-based tool for analyzing gene-level P-values to identify significant genes missed by standard methodsSandeep Acharya, Vaha Akbary Moghaddam, Wooseok J Jung, et al.Briefings in Bioinformatics|March 9, 2026
Advances in predicting omics profiles from imaging dataAlexa H Beachum, Xue Xiao, Yuansheng Zhou, et al.Briefings in Bioinformatics|March 2, 2026
ORANGE: a machine learning approach for modeling tissue-specific aging from transcriptomic dataWasif Jalal, Mubasshira Musarrat, Md Abul Hassan Samee, et al.Pageof 540