Cascaded Wx: A novel prognosis-related feature selection framework in human lung adenocarcinoma transcriptomes

Bonggun Shin; Sungsoo Park; Ji Hyung Hong; Ho Jung An; Sang Hoon Chun; Kilsoo Kang; Young Ho Ahn; Yoon Ho Ko; Keunsoo Kang

doi:10.3389/fgene.2019.00662

Cascaded Wx: A novel prognosis-related feature selection framework in human lung adenocarcinoma transcriptomes

Bonggun Shin
, Sungsoo Park
, Ji Hyung Hong
, Ho Jung An
, Sang Hoon Chun
, Kilsoo Kang
, Young Ho Ahn
, Yoon Ho Ko
, Keunsoo Kang

Department of Internal Medicine

Research output: Contribution to journal › Comment/debate

11 Scopus citations

Original language	English
Article number	662
Journal	Frontiers in Genetics
Volume	10
Issue number	JUN
DOIs	https://doi.org/10.3389/fgene.2019.00662
State	Published - 2019

Bibliographical note

Funding Information:
This study was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (1720100).

Keywords

CWx
Cascaded Wx
Feature Selection
Gene Expression
Machine learning
Non-small cell lung cancer
Prognosis

UN SDGs

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

Access to Document

10.3389/fgene.2019.00662

Cite this

@article{7d700151027b439a91d3e5379327f1da,

title = "Cascaded Wx: A novel prognosis-related feature selection framework in human lung adenocarcinoma transcriptomes",

keywords = "CWx, Cascaded Wx, Feature Selection, Gene Expression, Machine learning, Non-small cell lung cancer, Prognosis",

author = "Bonggun Shin and Sungsoo Park and Hong, \{Ji Hyung\} and An, \{Ho Jung\} and Chun, \{Sang Hoon\} and Kilsoo Kang and Ahn, \{Young Ho\} and Ko, \{Yoon Ho\} and Keunsoo Kang",

note = "Funding Information: This study was supported by a grant from the National R\&D Program for Cancer Control, Ministry of Health \& Welfare, Republic of Korea (1720100).",

year = "2019",

doi = "10.3389/fgene.2019.00662",

language = "English",

volume = "10",

journal = "Frontiers in Genetics",

issn = "1664-8021",

publisher = "Frontiers Media SA",

number = "JUN",

}

TY - JOUR

T1 - Cascaded Wx

T2 - A novel prognosis-related feature selection framework in human lung adenocarcinoma transcriptomes

AU - Shin, Bonggun

AU - Park, Sungsoo

AU - Hong, Ji Hyung

AU - An, Ho Jung

AU - Chun, Sang Hoon

AU - Kang, Kilsoo

AU - Ahn, Young Ho

AU - Ko, Yoon Ho

AU - Kang, Keunsoo

N1 - Funding Information: This study was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (1720100).

PY - 2019

Y1 - 2019

KW - CWx

KW - Cascaded Wx

KW - Feature Selection

KW - Gene Expression

KW - Machine learning

KW - Non-small cell lung cancer

KW - Prognosis

UR - https://www.scopus.com/pages/publications/85069044864

U2 - 10.3389/fgene.2019.00662

DO - 10.3389/fgene.2019.00662

M3 - Comment/debate

AN - SCOPUS:85069044864

SN - 1664-8021

VL - 10

JO - Frontiers in Genetics

JF - Frontiers in Genetics

IS - JUN

M1 - 662

ER -

Cascaded Wx: A novel prognosis-related feature selection framework in human lung adenocarcinoma transcriptomes

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this