- Yiyu Hong, Juyong Lee, Junsu Ko. A-Prot: protein structure modeling using MSA transformer. BMC Bioinformatics, 23(1):93, 2022.
- Lei Deng, Zixuan Liu, Yurong Qian, Jingpu Zhang. Predicting circRNA-drug sensitivity associations via graph attention auto-encoder. BMC Bioinformatics, 23(1):160, 2022.
- Il-Hyung Lee, Sam Passaro, Selin Ozturk, Juan Ureña, Weitian Wang. Intelligent fluorescence image analysis of giant unilamellar vesicles using convolutional neural network. BMC Bioinformatics, 23(1):48, 2022.
- Michela Quadrini, Sebastian Daberdaku, Carlo Ferrari. Hierarchical representation for PPI sites prediction. BMC Bioinformatics, 23(1):96, 2022.
- Xiaoquan Chu, Tanlin Sun, Qian Li, Youjun Xu, Zhuqing Zhang, Luhua Lai, Jianfeng Pei. Prediction of liquid-liquid phase separating proteins using machine learning. BMC Bioinformatics, 23(1):72, 2022.
- Shang Liu, Hailiang Cheng, Javaria Ashraf, Youping Zhang, Qiaolian Wang, Limin Lv, Man He, Guoli Song, Dongyun Zuo. Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development. BMC Bioinformatics, 23(1):91, 2022.
- Wiktor Kusmirek, Robert M. Nowak. CNVind: an open source cloud-based pipeline for rare CNVs detection in whole exome sequencing data based on the depth of coverage. BMC Bioinformatics, 23(1):85, 2022.
- Long Yang, Li-ping Li, Hai-Cheng Yi. DeepWalk based method to predict lncRNA-miRNA associations via lncRNA-miRNA-disease-protein-drug graph. BMC Bioinformatics, 22-S(12):621, 2022.
- Junhui Qiu, Qi Zhou, Weicai Ye, Qianjun Chen, Yun-Juan Bao. SweepCluster: A SNP clustering tool for detecting gene-specific sweeps in prokaryotes. BMC Bioinformatics, 23(1):19, 2022.
- Vy Nguyen, Johannes Griss. scAnnotatR: framework to accurately classify cell types in single-cell RNA-sequencing data. BMC Bioinformatics, 23(1):44, 2022.