Art
J-GLOBAL ID：201902219159268596   Reference number：19A1370637

Prediction of prognosis with PDAC by Machine learning models using mucin genes methylation status

ムチン遺伝子のメチル化情報を用いた機械学習による膵癌摘出術後の予後評価
Author (3)：
YOKOYAMA Seiya

About YOKOYAMA Seiya

(Kagoshima Univ.)

About Kagoshima Univ.

, 
HIGASHI Michiyo

About HIGASHI Michiyo

(Kagoshima Univ.)

About Kagoshima Univ.

, 
TANIMOTO Akihide

About TANIMOTO Akihide

(Kagoshima Univ.)

About Kagoshima Univ.


Material：
日本病理学会会誌  (Proceedings of the Japanese Society of Pathology)

About 日本病理学会会誌


Volume： 108  Issue： 1  Page： 321-322  Publication year： Apr. 15, 2019 
JST Material Number： Z0665A  ISSN： 0300-9181  Document type： Proceedings
Article type： 会議録記事  Country of issue： Japan (JPN)  Language： ENGLISH (EN)
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human

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genetic variation

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JST classification (4)：
JST classification
Category name(code) classified by JST.
Chemistry,biochemistry and pathology of tumors(=neoplasms) 
(GE02030N)

About Chemistry,biochemistry and pathology of tumors(=neoplasms)

,  Clinical oncology in general 
(GE03010Y)

About Clinical oncology in general

,  Tumors(=neoplasms)of digestive system 
(GH04000D)

About Tumors(=neoplasms)of digestive system

,  Molecular genetics in general 
(EC02010J)

About Molecular genetics in general

Terms in the title (8)：
Terms in the title
Keywords automatically extracted from the title.
ムチン

About ムチン

, 
遺伝子

About 遺伝子

, 
メチル化

About メチル化

, 
機械学習

About 機械学習

, 
膵癌

About 膵癌

, 
摘出術

About 摘出術

, 
予後

About 予後

, 
評価

About 評価


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