Approaches for Cancer Diagnosis Based on Microarray Data

被引：0

作者：

Zeng Zhiqiang ^{[1
]}

Hua Shi ^{[1
]}

机构：

[1] Xiamen Univ Technol, Coll Comp & Informat Engn, Xiamen 361005, Peoples R China

来源：

JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE | 2015年 / 12卷 / 09期

关键词：

Microarray Data; Classification; Dimensionality Reduction; Cancer Diagnosis; GENE-EXPRESSION DATA; FEATURE-SELECTION; HYBRID METHOD; CLASSIFICATION; IDENTIFICATION; PROFILES; MACHINE; ADENOCARCINOMA; EXTRACTION; SURVIVAL;

D O I：

10.1166/jctn.2015.4064

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Development on microarray technology may lead to opportunities in bioinformatics and makes it possible to diagnose cancer on the level of gene expression. Many adverse factors, such as small number of samples with high-dimensional characteristics and data class imbalances, pose challenges to traditional machine learning methods. Numerous researchers had worked on these problems and obtained significant achievements. This paper describes the data sets used in study, summarizes the approaches for cancer diagnosis based on microarray data, and provides outlook on future research direction.

引用

页码：2566 / 2573

页数：8

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