GNPI: Graph normalization to integrate phylogenetic information for metagenomic host phenotype prediction

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Li, Bojing;Zhong, Duo;Qiao, Jimei;Jiang, Xingpeng

通讯作者：

Xingpeng Jiang

作者机构：

[Zhong, Duo; Jiang, Xingpeng; Li, Bojing] Cent China Normal Univ, Hubei Key Lab Artificial Intelligence & Smart Lear, Wuhan, Peoples R China.

[Zhong, Duo; Jiang, Xingpeng; Li, Bojing] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.

[Qiao, Jimei] Shanghai Normal Univ, Math & Sci Coll, Shanghai, Peoples R China.

[Jiang, Xingpeng] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netwo, Wuhan, Peoples R China.

通讯机构：

[Xingpeng Jiang] H

Hubei Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China<&wdkj&>School of Computer, Central China Normal University, Wuhan, China<&wdkj&>National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, Wuhan, China

语种：

英文

关键词：

Graph neural networks;Graph normalization;Host phenotype prediction;Metagenomics

期刊：

Methods

ISSN：

1046-2023

年：

2022

卷：

205

页码：

11-17

DOI：

10.1016/j.ymeth.2022.05.007

基金类别：

National Natural Science Foun-dation of China [61872157, 61932008]; Key Research and Development Program of Hubei Province [2020BAB017]

机构署名：

本校为第一机构

院系归属：

计算机学院

摘要：

Microorganisms play important roles in our lives especially on metabolism and diseases. Determining the probability of human suffering from specific diseases and the severity of the disease based on microbial genes is the crucial research for understanding the relationship between microbes and diseases. Previous could extract the topological information of phylogenetic trees and integrate them to metagenomic datasets, thus enable classifiers to learn more information in limited datasets and thus improve the performance of the models. In this paper, we proposed a GNPI model to better learn the ...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

GNPI: Graph normalization to integrate phylogenetic information for metagenomic host phenotype prediction

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问