Results for &quot;&quot;Support Vector Machine&quot;&quot;[mesh_terms]

Prediction and Interpretation Microglia Cytotoxicity by Machine Learning.

Yue Hou, Qingqi Meng, Zeyu Cui, Mengmeng Fan, Dakuo He, Qing Liu, Ning Li, Hao Wang, Jinpeng Wang, Yan Mi

Journal of chemical information and modeling 2024;64(24):9306-9326

Pred-binding: large-scale protein-ligand binding affinity prediction.

Piar Ali Shar, Weiyang Tao, Shuo Gao, Chao Huang, Bohui Li, Wenjuan Zhang, Mohamed Shahen, Yonghua Wang, Yaofei Bai, Chunli Zheng

Journal of enzyme inhibition and medicinal chemistry 2017;31(6):1443-50

Isoelectric point optimization using peptide descriptors and support vector machines.

Yasset Perez-Riverol, Enrique Audain, Aleli Millan, Yassel Ramos, Aniel Sanchez, Juan Antonio Vizcaíno, Rui Wang, Markus Müller, Yoan J Machado, Lazaro H Betancourt, Luis J González, Gabriel Padrón, Vladimir Besada

Journal of proteomics 2012;75(7):2269-74

PredDBP-Stack: Prediction of DNA-Binding Proteins from HMM Profiles using a Stacked Ensemble Method.

Jun Wang, Huiwen Zheng, Yang Yang, Wanyue Xiao, Taigang Liu

BioMed research international 2021;2020():7297631

Improving Data and Prediction Quality of High-Throughput Perovskite Synthesis with Model Fusion.

Joshua Schrier, D Frank Hsu, Alexander J Norquist, Emory M Chan, Mansoor Ani Najeeb Nellikkal, Zhi Li, Hamed Eramian, Yuanqing Tang

Journal of chemical information and modeling 2021;61(4):1593-1602

Investigating the Precise Identification of Citrullination Sites with High- Performance Score Metrics Using a Powerful Computation Predicting Tool.

Mahedi Hasan, Fee Faysal Ahmed, Daijin Kim, Md Abdur Rauf Sarkar, Md Farhad Bulbul, Anamika Podder, Md Amzad Hossain

Combinatorial chemistry & high throughput screening 2024;27(9):1381-1393

Identification of adaptor proteins using the ANOVA feature selection technique.

Ke-Jun Deng, Hao Lin, Zhao-Yue Zhang, Zhi-Feng Gu, Ying Zhang, Yu-Fei Zhang, Yu-Hao Wang

Methods (San Diego, Calif.) 2022;208():42-47

Disulfide connectivity prediction based on structural information without a prior knowledge of the bonding state of cysteines.

Hsuan-Hung Lin, Jiin-Chyr Hsu, Yuan-Nian Hsu, Ren-Hao Pan, Yung-Fu Chen, Lin-Yu Tseng

Computers in biology and medicine 2014;43(11):1941-8

Identification of multiple raisins by feature fusion combined with NIR spectroscopy.

Liping Jiang, Chong Ma, Yan Yang, Yajun Zhang

PloS one 2022;17(7):e0268979

Hybrid multi-kernel SVM algorithm for detection of microaneurysm in color fundus images.

B Priestly Shan, O Jeba Singh, D Jeba Derwin

Medical & biological engineering & computing 2022;60(5):1377-1390

SVM-based prediction of the calpain degradome using Bayes Feature Extraction.

H M Low, L J K Wee

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2013;2012():5534-40

iPReditor-CMG: Improving a predictive RNA editor for crop mitochondrial genomes using genomic sequence features and an optimal support vector machine.

Sidong Qin, Yanjun Fan, Shengnan Hu, Yongqiang Wang, Ziqi Wang, Yixiang Cao, Qiyuan Liu, Siqiao Tan, Zhijun Dai, Wei Zhou

Phytochemistry 2022;200():113222

Predictive Modeling of Cordycepin Content in Cordyceps militaris Using Machine Learning Based on Cultivation Conditions.

Si Young Ha, Hyeon Cheol Kim, Jae-Kyung Yang

Journal of basic microbiology 2026;66(2):e70148

An Efficient Classifier for Alzheimer's Disease Genes Identification.

Lei Xu, Guangmin Liang, Changrui Liao, Gin-Den Chen, Chi-Chang Chang

Molecules (Basel, Switzerland) 2019;23(12):3140