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Briefings in Bioinformatics|September 20, 2022
FP-GNN: a versatile deep learning architecture for enhanced molecular property predictionHanxuan Cai, Huimin Zhang, Duancheng Zhao, et al.
Briefings in Bioinformatics|September 28, 2022
FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sitesQiao Ning, Zedong Qi, Yue Wang, et al.
Briefings in Bioinformatics|January 12, 2022
Critical assessment of computational tools for prokaryotic and eukaryotic promoter predictionMeng Zhang, Cangzhi Jia, Fuyi Li, et al.
Briefings in Bioinformatics|December 28, 2021
Detection of minor variants in Mycobacterium tuberculosis whole genome sequencing dataSander N Goossens, Tim H Heupink, Elise De Vos, et al.
Briefings in Bioinformatics|December 28, 2021
Detection of transcription factors binding to methylated DNA by deep recurrent neural networkHongfei Li, Yue Gong, Yifeng Liu, et al.
Briefings in Bioinformatics|October 20, 2022
Identification of potential driver mutations in glioblastoma using machine learningMedha Pandey, P Anoosha, Dhanusha Yesudhas, et al.
Briefings in Bioinformatics|December 4, 2023
MESPool: Molecular Edge Shrinkage Pooling for hierarchical molecular representation learning and property predictionFanding Xu, Zhiwei Yang, Lizhuo Wang, et al.
Briefings in Bioinformatics|December 4, 2023
Applications of genome-scale metabolic models to investigate microbial metabolic adaptations in response to genetic or environmental perturbationsElena Lucy Carter, Chrystala Constantinidou, Mohammad Tauqeer Alam
Briefings in Bioinformatics|November 20, 2023
Integrating AlphaFold and deep learning for atomistic interpretation of cryo-EM mapsXin Dai, Longlong Wu, Shinjae Yoo, et al.
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