Microarray Image and Data Analysis: Theory and Practice by Luis Rueda PDF

By Luis Rueda

ISBN-10: 1466586826

ISBN-13: 9781466586826

ISBN-10: 1466586877

ISBN-13: 9781466586871

Microarray photo and knowledge research: thought and Practice is a compilation of the most recent and maximum microarray photograph and information research equipment from the multidisciplinary overseas study group. supplying an in depth dialogue of the organic features and functions of microarrays, the book:

  • Describes the most important levels of photo processing, gridding, segmentation, compression, quantification, and normalization
  • Features state of the art ways to clustering, biclustering, and the reconstruction of regulatory networks
  • Covers forms of microarrays reminiscent of DNA, protein, tissue, and coffee- and high-density oligonucleotide arrays
  • Examines the present country of assorted microarray applied sciences, together with their availability and affordability
  • Explains how facts generated by way of microarray experiments are analyzed to procure significant organic conclusions

An crucial reference for academia and undefined, Microarray picture and information research: thought and perform provides readers with important instruments and strategies that stretch to quite a lot of organic experiences and microarray platforms.

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Extra info for Microarray Image and Data Analysis: Theory and Practice

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The amount of probe DNA attached to the slide is unknown. Background, lightning and radiation conditions vary at different places in the slide. Noise present in microarray images may affect the overall process of analysis if caution is not taken mainly in those stages at the beginning of the process. Lightning variations and artifacts present in the images can hopefully be detected and eliminated by sophisticated techniques for noise detection, treatment and removal. An overview of these problems as well as a detailed discussion of the latest techniques available to date are presented in Chapter 7.

Hybridization is subject to different experimental parameters. Cross-hybridization or nonspecificity in hybridization. Hybridization may vary due to physical conditions in the slide. Stringency conditions of post-hybridization washes. The amount of probe DNA attached to the slide is unknown. Background, lightning and radiation conditions vary at different places in the slide. Noise present in microarray images may affect the overall process of analysis if caution is not taken mainly in those stages at the beginning of the process.

Starting from a list of relevant genes under different conditions arranged in terms of some patterns, the challenge is to infer a network that represents these relationships. Various techniques have been proposed for inferring gene regulatory networks from microarray time-series and other data [49]. An extensive coverage of methods for discovering gene regulatory networks from microarray data is presented in Chapter 15. 6 RESOURCES FOR MICROARRAYS Since the microarray technology was introduced, a large number of resources have been made available.

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Microarray Image and Data Analysis: Theory and Practice by Luis Rueda


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