Search Result "benchmarkdataset."
Some Remarks on Prediction of Protein-Protein Interaction with Machine Learning
Journal: Medicinal Chemistry
Volume: 11 Issue: 3 Year: 2015 Page: 254-264
Author(s): Shao-Wu Zhang, Ze-Gang Wei
TP-MV: Therapeutic Peptides Prediction by Multi-view Learning
Journal: Current Bioinformatics
Volume: 17 Issue: 2 Year: 2022 Page: 174-183
Author(s): Bin Liu,Hongwu Lv,Ke Yan
Advances in the Prediction of Protein Subcellular Locations with Machine Learning
Journal: Current Bioinformatics
Volume: 14 Issue: 5 Year: 2019 Page: 406-421
Author(s): Ting-He Zhang,Shao-Wu Zhang
Prediction of Nitrosocysteine Sites Using Position and Composition Variant Features
Journal: Letters in Organic Chemistry
Volume: 16 Issue: 4 Year: 2019 Page: 283-293
Author(s): Yaser Daanial Khan,Aroosa Batool,Nouman Rasool,Sher Afzal Khan,Kuo-Chen Chou
A Homology and Pseudo Amino Acid Composition-based Multi-label Model for Predicting Human Membrane Protein Types
Journal: Current Proteomics
Volume: 15 Issue: 2 Year: 2018 Page: 135-141
Author(s): Yanjun Huang,Guohua Huang
Improved Background Subtraction Technique for Detecting Moving Objects
Journal: Recent Advances in Computer Science and Communications
Volume: 14 Issue: 9 Year: 2021 Page: 2854-2862
Author(s): Tannistha Pal
Identifying Drug-Target Interactions with Decision Templates
Journal: Current Protein & Peptide Science
Volume: 19 Issue: 5 Year: 2018 Page: 498-506
Author(s): Xiao-Ying Yan,Shao-Wu Zhang
A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization
Journal: Current Bioinformatics
Volume: 14 Issue: 3 Year: 2019 Page: 234-240
Author(s): Wuritu Yang,Xiao-Juan Zhu,Jian Huang,Hui Ding,Hao Lin
Some Applications of Nonlinear Science Methods and Support Vector Machine Methods to Protein Problems
Journal: Mini-Reviews in Organic Chemistry
Volume: 12 Issue: 6 Year: 2015 Page: 493-505
Author(s): Guo-Sheng Han,Zu-Guo Yu,Zhi-Qin Zhao
Revolutionizing Precision Agriculture Using Artificial Intelligence and Machine Learning
Ebook: Data Science for Agricultural Innovation and Productivity
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815196177124010009