Functional Interpretation of Gene Expression Data

Igor Trajkovski

ISBN 10: 3847314750 / ISBN 13: 9783847314752

Published by LAP LAMBERT Academic Publishing Dez 2011, 2011

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Microarrays are at the center of a revolution in biotechnology, allowing researchers to simultaneously monitor the expression of tens of thousands of genes. The final aim of a typical microarray experiment is to find a molecular explanation for a given macroscopic observation (e.g., which pathways are affected by the loss of glucose in a cell, what biological processes differentiate a healthy control from a diseased case); this is called functional interpretation of gene expression data. The two developed methods presented in this book have proved to be of interest to medical experts. The extracted knowledge turns out to be consistent with the relevant literature, and proves to have the potential for guiding the biomedical research and generating new hypotheses that explain microarray measurements.Books on Demand GmbH, Überseering 33, 22297 Hamburg 148 pp. Englisch.

Seller Inventory # 9783847314752

Bibliographic Details

• Title: Functional Interpretation of Gene Expression Data
• Publisher: LAP LAMBERT Academic Publishing Dez 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3847314750
• ISBN 13: 9783847314752
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 238 grams

About this title

Synopsis

Microarrays are at the center of a revolution in biotechnology, allowing researchers to simultaneously monitor the expression of tens of thousands of genes. The final aim of a typical microarray experiment is to find a molecular explanation for a given macroscopic observation (e.g., which pathways are affected by the loss of glucose in a cell, what biological processes differentiate a healthy control from a diseased case); this is called functional interpretation of gene expression data. The two developed methods presented in this book have proved to be of interest to medical experts. The extracted knowledge turns out to be consistent with the relevant literature, and proves to have the potential for guiding the biomedical research and generating new hypotheses that explain microarray measurements.

About the Author

Dr. Trajkovski is an assistant professor at the Faculty of Computer Science and Engineering in Skopje, Macedonia. Scientific research work of Dr. Trajkovski is in the fields of Machine Learning, Bioinformatics, Parallel Algorithms and Natural Language Processing. His master and doctoral theses, are in the field of bioinformatics.