The applications of bioinformatics in cancer detection
edited by Asad Umar, Izet Kapetanovic, and Javed Khan
- Resource Type:
- Book (Print/Paper)
- Publication:
- New York, N.Y. : New York Academy of Sciences, 2004
- Related Series:
More Details
- Table of Contents:
- Overview of commonly used bioinformatics methods and their applications / by Izet Kapetanovic, Simon Rosenfeld, and Grant Izmirlian
- New computational methods in cancer-related bioinformatics / by Simon Rosenfeld
- Bioinformatic strategies for translating genome-wide expression analyses into clinically useful cancer markers / by Daniel R. Rhodes and Arul M. Chinnaiyan
- Bayesian model-based methods for the analysis of DNA microarray data / by Joseph Ibrahim
- Diagnostic classification of cancer using dna microarrays and artificial intelligence / by Braden Greer and Javed Khan
- Application of bioinformatics in cancer epigenetics / by Maxwell Lee
- Pathway databases / by Carl Schaefer
- Microarrays and the gene expression profile of a single cells / by Ernest Kawasaki
- Bioinformatics tools for single nucleotide polymorphism discovery and analysis / by Robert Clifford ... [et al.]
- Numerical deconvolution of microarray signal : simulation study / by Simon Rosenfeld
- Automated interpretation of protein subcellular location patterns : implications for early cancer detection and assessment / by Robert Murphy
- Improved small lung cancer detection with computer aided detection and imaging of response to breast cancer risk reduction strategies / by Matthew Freedman
- Application of the random forest classification algorithm to a SELDI-TOF proteomics study in the setting of a cancer prevention trial/ by Grant Izmirlian
- Evolutionary fuzzy modeling human diagnostic decisions / by Carlos Andres Pena-Reyes
- Bayesian decomposition : analyzing microarray data within a biological context / by Michael Ochs ... [et al.]
- InfoEvolve(tm) : moving from data to drugs using information theory and genetic algorithms / by Ganesh Vaidyanathan
- Applications of machine learning and high dimensional visualization in cancer detection, diagnosis, and management / by John F. McCarthy ... [et al.]
- Data-driven computer simulation of human cancer cell / by A. Dhiman ... [et al.].
- Contributors:
- Meetings:
- Languages:
- English
- Language Notes:
- Item content: English
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- Subjects:
- General Notes:
- Includes bibliographical references and index.
- Physical Description:
- x, 277 pages : illustrations ; 22 cm.
- Call Numbers:
- Q11 .N47 v. 1020
- ISBNs:
- 1573315109 (cloth, alk. paper)
1573315117 (pbk., alk. paper) - Library of Congress Control Numbers:
- 2004006687
- OCLC Numbers:
- 54818234