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The Resource The applications of bioinformatics in cancer detection, edited by Asad Umar, Izet Kapetanovic, and Javed Khan

The applications of bioinformatics in cancer detection, edited by Asad Umar, Izet Kapetanovic, and Javed Khan

Label
The applications of bioinformatics in cancer detection
Title
The applications of bioinformatics in cancer detection
Statement of responsibility
edited by Asad Umar, Izet Kapetanovic, and Javed Khan
Creator
Contributor
Subject
Genre
Language
eng
Member of
Cataloging source
DNLM/DLC
Illustrations
illustrations
Index
index present
LC call number
Q11
LC item number
.N5 v. 1020
Literary form
non fiction
Nature of contents
bibliography
Series statement
Annals of the New York Academy of Sciences
Series volume
v. 1020
The applications of bioinformatics in cancer detection, edited by Asad Umar, Izet Kapetanovic, and Javed Khan
Label
The applications of bioinformatics in cancer detection, edited by Asad Umar, Izet Kapetanovic, and Javed Khan
Publication
Related Contributor
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Bibliography note
Includes bibliographical references and index
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.]
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781573315111&userID=ebsco-test&password=ebsco-test
Dimensions
22 cm.
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b1634687'}
Extent
x, 277 p.
Isbn
9781573315111
Isbn Type
(pbk. : alk. paper)
Lccn
2004006687
Other physical details
ill.

Library Locations

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