Microarray Data Analysis and Prognosis of Lung Adenocarcinomas
碩士 === 臺灣大學 === 數學研究所 === 98 === Abstract Purpose Recently, several new gene expressions based signatures were proposed to predictive the survival of Non Small Cell Lung Cancer (NSCLC) patients. However, for stage I patients, the task is more difficult and no signatures had been found from a large s...
Main Authors: | Hao Ho, 何昊 |
---|---|
Other Authors: | Ker-Chau Li |
Format: | Others |
Language: | en_US |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/97715291600810596415 |
Similar Items
-
Bioinformatics analysis of microarray data to identify the candidate biomarkers of lung adenocarcinoma
by: Tingting Guo, et al.
Published: (2019-07-01) -
Incorporating Deep Autoencoding Model and Multi-Omics Data for Prognosis analysis of Lung Adenocarcinoma
by: Cheng-Hsiang Chuang, et al.
Published: (2019) -
Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes
by: Tsai Chung-Jui, et al.
Published: (2004-06-01) -
Long noncoding RNA expression profiles of lung adenocarcinoma ascertained by microarray analysis.
by: Gang Xu, et al.
Published: (2014-01-01) -
Identification of transcriptional subtypes in lung adenocarcinoma and squamous cell carcinoma through integrative analysis of microarray and RNA sequencing data
by: François Fauteux, et al.
Published: (2021-04-01)