Microarray Image and Data Analysis - Info and Reading Options
Theory and Practice
By Luis Rueda
"Microarray Image and Data Analysis" was published by Taylor & Francis Group in 2019, it has 520 pages and the language of the book is English.
“Microarray Image and Data Analysis” Metadata:
- Title: ➤ Microarray Image and Data Analysis
- Author: Luis Rueda
- Language: English
- Number of Pages: 520
- Is Family Friendly: Yes - No Mature Content
- Publisher: Taylor & Francis Group
- Publish Date: 2019
“Microarray Image and Data Analysis” Subjects and Themes:
- Subjects: ➤ Image processing - Biotechnology - Data processing - Protein microarrays - SCIENCE / Life Sciences / Biology / General - SCIENCE / Biotechnology - TECHNOLOGY & ENGINEERING / Biomedical - Bioengineering - Electronic data processing - Computer science - Electronic Data Processing - Oligonucleotide Array Sequence Analysis - Image Processing, Computer-Assisted - Biotechnologie - Informatique - Traitement d'images - Puces à protéines - SCIENCE - Life Sciences - Biochemistry - Microarray - DNS - Bildverarbeitung - Datenanalyse
Edition Specifications:
- Pagination: 520
Edition Identifiers:
- Google Books ID: oE_rxQEACAAJ
- The Open Library ID: OL34664342M - OL21256186W
- ISBN-13: 9781138374805
- ISBN-10: 1138374806
- All ISBNs: 9781138374805 - 1138374806
AI-generated Review of “Microarray Image and Data Analysis”:
Snippets and Summary:
Delivering a detailed discussion of the biological aspects and applications of microarrays, the book: Describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalization Features cutting-edge ...
"Microarray Image and Data Analysis" Description:
Google Books:
Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis methods from the multidisciplinary international research community. Delivering a detailed discussion of the biological aspects and applications of microarrays, the book: Describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalization Features cutting-edge approaches to clustering, biclustering, and the reconstruction of regulatory networks Covers different types of microarrays such as DNA, protein, tissue, and low- and high-density oligonucleotide arrays Examines the current state of various microarray technologies, including their availability and affordability Explains how data generated by microarray experiments are analyzed to obtain meaningful biological conclusions An essential reference for academia and industry, Microarray Image and Data Analysis: Theory and Practice provides readers with valuable tools and techniques that extend to a wide range of biological studies and microarray platforms.
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