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Briefings in Bioinformatics|April 6, 2024
Bayesian functional analysis for untargeted metabolomics data with matching uncertainty and small sample sizesGuoxuan Ma, Jian Kang, Tianwei YuBriefings in Bioinformatics|April 6, 2024
GLDM: hit molecule generation with constrained graph latent diffusion modelConghao Wang, Hiok Hian Ong, Shunsuke Chiba, et al.Briefings in Bioinformatics|October 23, 2023
Protein-protein interaction and site prediction using transfer learningTuoyu Liu, Han Gao, Xiaopu Ren, et al.Briefings in Bioinformatics|October 14, 2023
Latent space search based multimodal optimization with personalized edge-network biomarker for multi-purpose early disease predictionJing Liang, Zong-Wei Li, Ze-Ning Sun, et al.Briefings in Bioinformatics|October 14, 2023
MSI-XGNN: an explainable GNN computational framework integrating transcription- and methylation-level biomarkers for microsatellite instability detectionYang Cao, Dan Wang, Jin Wu, et al.Briefings in Bioinformatics|November 6, 2023
FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties predictionBiaoshun Li, Mujie Lin, Tiegen Chen, et al.Briefings in Bioinformatics|September 5, 2023
Sequence Alignment/Map format: a comprehensive review of approaches and applicationsYuansheng Liu, Xiangzhen Shen, Yongshun Gong, et al.Briefings in Bioinformatics|October 12, 2023
SoyDNGP: a web-accessible deep learning framework for genomic prediction in soybean breedingPengfei Gao, Haonan Zhao, Zheng Luo, et al.Briefings in Bioinformatics|August 31, 2023
InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics dataHai Yang, Yawen Liu, Yijing Yang, et al.Pageof 555