Editorial: Computational Learning Models and Methods Driven by Omics for Precision Medicine

Lei  Zhu; Hongmin Cai; Fa Zhang; Quan Zou; Yanjie Wei; Huiru Zheng

doi:10.3389/fgene.2020.620976

Editorial: Computational Learning Models and Methods Driven by Omics for Precision Medicine

Lei Zhu, Hongmin Cai, Fa Zhang, Quan Zou, Yanjie Wei, Huiru Zheng

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

(No abstract available)

Original language	English
Title of host publication	Computational Learning Models and Methods Driven by Omics for Precision Medicine
Place of Publication	Guangzhou, China
Publisher	Elsevier
Volume	11
DOIs	https://doi.org/10.3389/fgene.2020.620976
Publication status	Published (in print/issue) - 23 Dec 2020

Publication series

Name	Frontiers in Genetics
Publisher	Frontiers

Name
Publisher	ELSEVIER
Volume	11
ISSN (Print)	1664-8021
ISSN (Electronic)	1664-8021

Bibliographical note

Funding Information:
We thank all the authors who contributed to this topic.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

Genetics
RNA
biomarker
deep learning
disease
drug
machine learning
network analysis
omics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3389/fgene.2020.620976

620976_ManuscriptAuthor Accepted Manuscript, 167 KB

https://www.frontiersin.org/articles/10.3389/fgene.2020.620976/full

Cite this

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title = "Editorial: Computational Learning Models and Methods Driven by Omics for Precision Medicine",

abstract = "(No abstract available)",

keywords = "Genetics, RNA, biomarker, deep learning, disease, drug, machine learning, network analysis, omics",

author = "Lei Zhu and Hongmin Cai and Fa Zhang and Quan Zou and Yanjie Wei and Huiru Zheng",

year = "2020",

month = dec,

day = "23",

doi = "10.3389/fgene.2020.620976",

language = "English",

volume = "11",

series = "Frontiers in Genetics",

publisher = "Elsevier",

booktitle = "Computational Learning Models and Methods Driven by Omics for Precision Medicine",

address = "Netherlands",

}

Editorial: Computational Learning Models and Methods Driven by Omics for Precision Medicine. / Zhu, Lei ; Cai, Hongmin; Zhang, Fa et al.
Computational Learning Models and Methods Driven by Omics for Precision Medicine. Vol. 11 Guangzhou, China: Elsevier, 2020. 620976 (Frontiers in Genetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Editorial: Computational Learning Models and Methods Driven by Omics for Precision Medicine

AU - Zhu, Lei

AU - Cai, Hongmin

AU - Zhang, Fa

AU - Zou, Quan

AU - Wei, Yanjie

AU - Zheng, Huiru

PY - 2020/12/23

Y1 - 2020/12/23

N2 - (No abstract available)

AB - (No abstract available)

KW - Genetics

KW - RNA

KW - biomarker

KW - deep learning

KW - disease

KW - drug

KW - machine learning

KW - network analysis

KW - omics

UR - http://www.scopus.com/inward/record.url?scp=85099026927&partnerID=8YFLogxK

U2 - 10.3389/fgene.2020.620976

DO - 10.3389/fgene.2020.620976

M3 - Conference contribution

C2 - 33424938

VL - 11

T3 - Frontiers in Genetics

BT - Computational Learning Models and Methods Driven by Omics for Precision Medicine

PB - Elsevier

CY - Guangzhou, China

ER -

Editorial: Computational Learning Models and Methods Driven by Omics for Precision Medicine

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this