Showing results (1-10 of 25,182) with videos related to
Sort By:
Pageof 2,519
Briefings in Bioinformatics|February 12, 2020
EP3: an ensemble predictor that accurately identifies type III secreted effectorsJing Li, Leyi Wei, Fei Guo, et al.Frontiers in Plant Science|February 21, 2020
6mA-RicePred: A Method for Identifying DNA <i>N</i> <sup>6</sup>-Methyladenine Sites in the Rice Genome Based on Feature FusionQianfei Huang, Jun Zhang, Leyi Wei, et al.Briefings in Bioinformatics|May 31, 2026
Quantum computing applications in drug discoveryJing Li, Leyi Wei, Henry H Y Tong, et al.International Journal of Molecular Sciences|December 22, 2016
Recent Progress in Machine Learning-Based Methods for Protein Fold RecognitionLeyi Wei, Quan ZouRNA Biology|January 15, 2021
HSM6AP: a high-precision predictor for the Homo <i>sapiens</i> N6-methyladenosine (m^6 A) based on multiple weights and feature stitchingJing Li, Shida He, Fei Guo, et al.Proteomics|July 27, 2019
SecProMTB: Support Vector Machine-Based Classifier for Secretory Proteins Using Imbalanced Data Sets Applied to Mycobacterium tuberculosisChaolu Meng, Leyi Wei, Quan ZouBriefings in Functional Genomics|December 22, 2018
Research progress in protein posttranslational modification site predictionWenying He, Leyi Wei, Quan ZouBMC Genomics|March 8, 2018
SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptidesLeyi Wei, Jijun Tang, Quan ZouBriefings in Bioinformatics|January 3, 2021
SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learningJing Li, Lichao Zhang, Shida He, et al.IEEE Transactions on Nanobioscience|February 7, 2017
PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information OnlyLeyi Wei, Pengwei Xing, Jijun Tang, et al.Pageof 2,519