Editorial: Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics

Tao Wang; Miguel E. Rentería; Jiajie Peng

doi:10.3389/fgene.2022.895796

Editorial: Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics

Tao Wang, Miguel E. Rentería, Jiajie Peng

School of Computer Science

Research output: Contribution to journal › Editorial

7 Scopus citations

Original language	English
Article number	895796
Journal	Frontiers in Genetics
Volume	13
DOIs	https://doi.org/10.3389/fgene.2022.895796
State	Published - 26 Apr 2022

Keywords

data mining
disease biology
multimodal
omics
statistical methods

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10.3389/fgene.2022.895796

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title = "Editorial: Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics",

keywords = "data mining, disease biology, multimodal, omics, statistical methods",

author = "Tao Wang and Renter{\'i}a, {Miguel E.} and Jiajie Peng",

year = "2022",

month = apr,

day = "26",

doi = "10.3389/fgene.2022.895796",

language = "英语",

volume = "13",

journal = "Frontiers in Genetics",

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T2 - Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics

AU - Wang, Tao

AU - Rentería, Miguel E.

AU - Peng, Jiajie

PY - 2022/4/26

Y1 - 2022/4/26

KW - data mining

KW - disease biology

KW - multimodal

KW - omics

KW - statistical methods

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U2 - 10.3389/fgene.2022.895796

DO - 10.3389/fgene.2022.895796

M3 - 社论

AN - SCOPUS:85130766633

SN - 1664-8021

VL - 13

JO - Frontiers in Genetics

JF - Frontiers in Genetics

M1 - 895796

ER -

Editorial: Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics

Keywords

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