Reply to: Comments on “New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction”

Hongbo Bao; Peng Ren; Peng Liang; Xia Liang

doi:10.1002/ijc.34514

Reply to: Comments on “New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction”

Hongbo Bao
, Peng Ren
, Peng Liang^*
, Xia Liang^*

^*Corresponding author for this work

Faculty of Computing

Harbin Institute of Technology
School of Life Science and Technology, Harbin Institute of Technology
Harbin Medical University

Research output: Contribution to journal › Letter › peer-review

Original language	English
Pages (from-to)	683-684
Number of pages	2
Journal	International Journal of Cancer
Volume	153
Issue number	3
DOIs	https://doi.org/10.1002/ijc.34514
State	Published - 1 Aug 2023

UN SDGs

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

SDG 3 Good Health and Well-being

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10.1002/ijc.34514

Cite this

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title = "Reply to: Comments on “New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction”",

author = "Hongbo Bao and Peng Ren and Peng Liang and Xia Liang",

year = "2023",

month = aug,

day = "1",

doi = "10.1002/ijc.34514",

language = "英语",

volume = "153",

pages = "683--684",

journal = "International Journal of Cancer",

issn = "0020-7136",

publisher = "John Wiley and Sons Inc",

number = "3",

}

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T1 - Reply to

T2 - Comments on “New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction”

AU - Bao, Hongbo

AU - Ren, Peng

AU - Liang, Peng

AU - Liang, Xia

PY - 2023/8/1

Y1 - 2023/8/1

UR - https://www.scopus.com/pages/publications/85163913783

U2 - 10.1002/ijc.34514

DO - 10.1002/ijc.34514

M3 - 快报

C2 - 36929900

AN - SCOPUS:85163913783

SN - 0020-7136

VL - 153

SP - 683

EP - 684

JO - International Journal of Cancer

JF - International Journal of Cancer

IS - 3

ER -

Reply to: Comments on “New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction”

UN SDGs

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