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Methods of Microarray Data Analysis III

Papers from CAMDA ‘02

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Methods of Microarray Data Analysis III Kimberly F. Johnson
Libristo kod: 03615590
Nakladnici Springer-Verlag New York Inc., rujan 2003
As microarray technology has matured, data analysis methods have advanced as well. Methods Of Microa... Cijeli opis
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As microarray technology has matured, data analysis methods have advanced as well. Methods Of Microarray Data Analysis III is the third book in this pioneering series dedicated to the existing new field of microarrays. While initial techniques focused on classification exercises (volume I of this series), and later on pattern extraction (volume II of this series), this volume focuses on data quality issues. Problems such as background noise determination, analysis of variance, and errors in data handling are highlighted. Three tutorial papers are presented to assist with a basic understanding of underlying principles in microarray data analysis, and twelve new papers are highlighted analyzing the same CAMDA'02 datasets: the Project Normal data set or the Affymetrix Latin Square data set. A comparative study of these analytical methodologies brings to light problems, solutions and new ideas. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state of art of microarray data analysis.

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Informacije o knjizi

Puni naziv Methods of Microarray Data Analysis III
Autor Kimberly F. Johnson, Simon M. Lin
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2003
Broj stranica 252
EAN 9781402075827
ISBN 1402075820
Libristo kod 03615590
Nakladnici Springer-Verlag New York Inc.
Težina 616
Dimenzije 155 x 235 x 19

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Mathematics & Science > Biology, life sciences > Life sciences: general issues > Evolution
Mathematics & Science > Biology, life sciences > Life sciences: general issues > Genetics (non-medical)
Mathematics & Science > Biology, life sciences > Life sciences: general issues > Computational biology / bioinformatics
Technology, Engineering, Agriculture > Industrial chemistry & manufacturing technologies > Industrial chemistry & chemical engineering > Food & beverage technology
Medicine & Nursing > Pre-clinical medicine: basic sciences > Medical genetics
Mathematics & Science > Chemistry > Physical chemistry
Computing & Information Technology > Computer science > Artificial intelligence
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