首页> 外文OA文献 >Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees

【2h】

Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees

机译：基于弓性药理学空间和贝叶斯添加剂回归树预测蛋白质 - 配体相互作用

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Li Li; Ching Chiek Koh; Daniel Reker; J. B. Brown; Haishuai Wang; Nicholas Keone Lee; Hien-haw Liow; Hao Dai; Huai-Meng Fan; Luonan Chen; Dong-Qing Wei;
展开▼
作者单位

展开▼
年度 2019
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees [J] . Li Li, Ching Chiek Koh, Daniel Reker, Scientific reports. . 2019,第1期

机译：基于弓形药理空间和贝叶斯加性回归树预测蛋白质-配体相互作用
2. Bayesian additive decision trees of biomarker by treatment interactions for predictive biomarker detection and subgroup identification [J] . Zhao Yang, Zheng Wei, Zhuo Daisy Y., Journal of biopharmaceutical statistics . 2018,第3期

机译：贝叶斯添加剂决策生物标志物的治疗相互作用对预测生物标志物检测和子组识别
3. Potential of Bayesian additive regression trees for predicting daily global and diffuse solar radiation in arid and humid areas [J] . Wu Wei, Tang Xiaoping, Lv Jiake, Renewable energy . 2021,第Nova期

机译：贝叶斯添加剂回归树的潜力，用于预测干旱和潮湿地区的日常全球和漫反射太阳辐射
4. A Novel Bayesian Additive Regression Trees Ensemble Model Based on Linear Regression and Nonlinear Regression for Torrential Rain Forecasting [C] . Jiansheng Wu, Liangyong Huang, Xiaoming Pan CSO 2010;International joint conference on computational sciences and optimization . 2010

机译：基于线性回归和非线性回归的贝叶斯加性回归树集成模型用于暴雨预报
5. Bayesian classification using Bayesian additive and regression trees. [D] . Nappa, Dario. 2008

机译：使用贝叶斯加性树和回归树进行贝叶斯分类。
6. Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees [O] . Li Li, Ching Chiek Koh, Daniel Reker, -1

机译：基于弓箭药理空间和贝叶斯加性回归树的蛋白质-配体相互作用预测
7. Predicting human-driving behavior to help driverless vehicles drive: random intercept Bayesian Additive Regression Trees [O] . Tan, Yaoyuan Vincent, Flannagan, Carol A. C., Elliott, Michael R. 2017

机译：预测人力驾驶行为，以帮助无人驾驶车辆驾驶：随机拦截贝叶斯加性回归树

Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees

著录项

引文网络

相似文献

相关主题

期刊订阅