Knowledge discovery in gene-expression-microarray data: mining the information output of the genome.
نویسنده
چکیده
A key aspect of the genomics revolution is the transformation of large amounts of biological information into an electronic format, leading to an information-based approach to biomedical problems. Large-scale RNA assays and gene-expression-microarray studies, in particular, represent the second wave of the genomics revolution, providing gene-expression data that complement gene-sequence data and help our understanding of the molecular basis of health and disease. They are being applied at several stages in the drug-development process and could ultimately have broad applications in disease diagnosis and patient prognosis.
منابع مشابه
Data Mining using Learning Classifier Systems
[118] Stewart W. Wilson. Compact Rulesets from XCSI. In Lanzi et al. [73], pages 196–208.[119] Ian H. Witten and Eibe Frank. Data Mining: practical machine learning tools and techniques with java implementations. Morgan Kaufmann, 2000. [120] G. Zweiger. Knowledge discovery in gene-expression-microarray data: mining theinformation output of the genome. Trends in Biotechnology, 17:429...
متن کاملModification of the Fast Global K-means Using a Fuzzy Relation with Application in Microarray Data Analysis
Recognizing genes with distinctive expression levels can help in prevention, diagnosis and treatment of the diseases at the genomic level. In this paper, fast Global k-means (fast GKM) is developed for clustering the gene expression datasets. Fast GKM is a significant improvement of the k-means clustering method. It is an incremental clustering method which starts with one cluster. Iteratively ...
متن کاملIntegration and Reduction of Microarray Gene Expressions Using an Information Theory Approach
The DNA microarray is an important technique that allows researchers to analyze many gene expression data in parallel. Although the data can be more significant if they come out of separate experiments, one of the most challenging phases in the microarray context is the integration of separate expression level datasets that have gathered through different techniques. In this paper, we prese...
متن کاملFeature Selection and Classification of Microarray Gene Expression Data of Ovarian Carcinoma Patients using Weighted Voting Support Vector Machine
We can reach by DNA microarray gene expression to such wealth of information with thousands of variables (genes). Analysis of this information can show genetic reasons of disease and tumor differences. In this study we try to reduce high-dimensional data by statistical method to select valuable genes with high impact as biomarkers and then classify ovarian tumor based on gene expression data of...
متن کاملIdentification of Prognostic Genes in Her2-enriched Breast Cancer by Gene Co-Expression Net-work Analysis
Introduction: HER2-enriched subtype of breast cancer has a worse prognosis than luminal subtypes. Recently, the discovery of targeted therapies in other groups of breast cancer has increased patient survival. The aim of this study was to identify genes that affect the overall survival of this group of patients based on a systems biology approach. Methods: Gene expression data and clinical infor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Trends in biotechnology
دوره 17 11 شماره
صفحات -
تاریخ انتشار 1999