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IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 7, 2023
Reinforced Computer-Aided Framework for Diagnosing Thyroid CancerXia Xie, Yuanyishu Tian, Kaoru Ota, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 11, 2023
RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site PredictionYongchang Liu, Peiying Li, Shikui Tu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 5, 2023
Gene Expression Classification for Biomarker Identification in Maize Subjected to Various Biotic StressesLeyla Nazari, Zahra Zinati
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 5, 2023
Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise EncodingYulian Ding, Xiujuan Lei, Bo Liao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 7, 2023
Deep Learning-Empowered Clinical Big Data Analytics in Healthcare Digital TwinsZhihan Lv, Jinkang Guo, Haibin Lv
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 7, 2023
StemP: A Fast and Deterministic Stem-Graph Approach for RNA Secondary Structure PredictionMengyi Tang, Kumbit Hwang, Sung Ha Kang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 10, 2023
GCSTI: A Single-Cell Pseudotemporal Trajectory Inference Method Based on Graph CompressionWenhui Tu, Guang Ling, Feng Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 4, 2023
Ranking Top- k Trees in Tree-Based Phylogenetic NetworksMomoko Hayamizu, Kazuhisa Makino
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 4, 2023
SPPPred: Sequence-Based Protein-Peptide Binding Residue Prediction Using Genetic Programming and Ensemble LearningShima Shafiee, Abdolhossein Fathi, Ghazaleh Taherzadeh
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 4, 2023
scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-MeansXiaolin Wang, Hongli Gao, Ren Qi, et al.
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