Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and Drugs-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and Drugs

Published:2019-05-31 Issue: Volume:10 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Xuan Ping,Sun Chang,Zhang Tiangang,Ye Yilin,Shen Tonghui,Dong Yihua

Funder

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Publisher

Frontiers Media SA

Subject

Genetics(clinical),Genetics,Molecular Medicine

Reference77 articles.

1. Systems pharmacology of arrhythmias;Berger;Sci. Signal.,2010

2. Supervised prediction of drug–target interactions using bipartite local models;Bleakley;Bioinformatics,2009

3. Predicting enhancers from multiple cell lines and tissues across different developmental stages based on SVM method;Bu;Curr. Bioinform.,2018

4. Identification of drug-drug interactions using chemical interactions;Chen;Curr. Bioinform.,2017

5. Drug–target interaction prediction: databases, web servers and computational models;Chen;Brief. Bioinform.,2015

Cited by 71 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SPE-SHAP: Self-paced ensemble with Shapley additive explanation for the analysis of aviation turbulence triggered by wind shear events;Expert Systems with Applications;2024-11

2. Integrating Multi-Omics Using Bayesian Ridge Regression with Iterative Similarity Bagging;Applied Sciences;2024-06-28

3. Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction;Applied Artificial Intelligence;2024-05-25

4. MSF-PFP: A Novel Multisource Feature Fusion Model for Protein Function Prediction;Journal of Chemical Information and Modeling;2024-02-27

5. A Comprehensive Study of the Performances of Imbalanced Data Learning Methods with Different Optimization Techniques;Communications in Computer and Information Science;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3