Concise prediction models of anticancer efficacy of 8 drugs using expression data from 12 selected genes.
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Exploring the role of molecular biomarkers as a potential weapon against gastric cancer: A review of the literatureMolecular classification and prediction in gastric cancerA novel five gene signature derived from stem-like side population cells predicts overall and recurrence-free survival in NSCLCGene trap mutagenesis-based forward genetic approach reveals that the tumor suppressor OVCA1 is a component of the biosynthetic pathway of diphthamide on elongation factor 2.An integrative approach to identifying cancer chemoresistance-associated pathwaysOverexpression of the orotate phosphoribosyl-transferase gene enhances the effect of 5-fluorouracil on gastric cancer cell lines.Gene expression signature-based prognostic risk score in gastric cancerThe A Allele at rs13419896 of EPAS1 Is Associated with Enhanced Expression and Poor Prognosis for Non-Small Cell Lung Cancer.Association of Topoisomerase II (TOP2A) and Dual-Specificity Phosphatase 6 (DUSP6) Single Nucleotide Polymorphisms with Radiation Treatment Response and Prognosis of Lung Cancer in Han Chinese.New insights into the mechanisms of gastric cancer multidrug resistance and future perspectives.TMEM158 and FBLP1 as novel marker genes of cisplatin sensitivity in non-small cell lung cancer cells.Quantitative prediction of tumor response to neoadjuvant chemotherapy in breast cancer: novel marker genes and prediction model using the expression levels.Prediction of in vitro response to interferon-alpha in renal cell carcinoma cell lines.
P2860
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P2860
Concise prediction models of anticancer efficacy of 8 drugs using expression data from 12 selected genes.
description
2004 nî lūn-bûn
@nan
2004 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Concise prediction models of a ...... n data from 12 selected genes.
@ast
Concise prediction models of a ...... n data from 12 selected genes.
@en
type
label
Concise prediction models of a ...... n data from 12 selected genes.
@ast
Concise prediction models of a ...... n data from 12 selected genes.
@en
prefLabel
Concise prediction models of a ...... n data from 12 selected genes.
@ast
Concise prediction models of a ...... n data from 12 selected genes.
@en
P2093
P356
P1476
Concise prediction models of a ...... n data from 12 selected genes.
@en
P2093
Hiroshi Yahata
Kazuaki Chayama
Kazuhiro Yoshida
Keiji Tanimoto
Keiko Hiyama
Keiko Otani
Kenichi Satoh
Masahiko Nishiyama
Megu Ohtaki
Shinji Tanaka
P2860
P304
P356
10.1002/IJC.20289
P577
2004-09-01T00:00:00Z