Download e-book for iPad: Advanced analysis of gene expression microarray data by Aidong Zhang

By Aidong Zhang

ISBN-10: 9812566457

ISBN-13: 9789812566454

This e-book is particularly good written, in nice aspect and readability. The identify "Advanced" sounds formidable to a few intermediate or access point statisticians, however the math information within the publication is particularly comprehensible, awarded as worthwhile aid with the intention to comprehend the defined statistical tools.
I may hugely suggest this publication to statisticians with all statistical backgrounds who're new to the world of microarray information research. This booklet is ideal as a textbook for a primary process microarray information research too.

Show description

Read or Download Advanced analysis of gene expression microarray data PDF

Similar bioinformatics books

New PDF release: Modern physical methods in biochemistry

This quantity completes the account of actual equipment utilized in biochemistry that was once lined in quantity 11A, which used to be released in 1985. It bargains with speedy response equipment, excessive functionality liquid chromatography of peptides and proteins, fluorescence spectroscopy, neutron and X-ray scattering thoughts, and likewise Raman and resonance spectroscopy that have lately been used to an expanding volume in biochemistry.

New High Throughput Technologies for DNA Sequencing and by Keith R. Mitchelson PDF

Because the self sustaining invention of DNA sequencing via Sanger and through Gilbert 30 years in the past, it has grown from a small scale process in a position to analyzing numerous kilobase-pair of series according to day into modern multibillion greenback undefined. This progress has spurred the advance of recent sequencing applied sciences that don't contain both electrophoresis or Sanger sequencing chemistries.

New PDF release: Genomics: Essential Methods

Content material: bankruptcy 1 excessive? solution research of Genomic replica quantity adjustments (pages 1–31): Mario Hermsen, Jordy Coffa, Bauke Ylstra, Gerrit Meijer, Hans Morreau, Ronald van Eijk, Jan Oosting and Tom van WezelChapter 2 identity of Polymorphic Markers for Genetic Mapping (pages 33–48): Daniel C. Koboldt and Raymond D.

Read e-book online DNA repair and mutagenesis PDF

Thoroughly reorganized, the hot variation offers an important overhaul of the present chapters and introduces vital new fabric, reflective of the main adjustments and advancements that experience happened within the box during the last decade. As with the 1st version, this new quantity offers the sector inside a robust historic framework and all features of organic responses to DNA harm are targeted.

Extra resources for Advanced analysis of gene expression microarray data

Example text

4) Repeat the steps above until the changes between consecutive steps are below a given threshold. (5) Normalize xii using the regression line found above: (x2i)n = x2i -m+b. 1 Intensity-Dependent Normalization LOWESS: Locally weighted linear regression Several reports have indicated that the log2(ratio) values can have a systematic dependence on the intensity [315,317]. This most commonly appears as a deviation from zero for low-intensity spots. Locally weighted linear regression (LOWESS) [58] analysis has been proposed [315,317] as a normalization method that can remove such intensity-dependent effects in the log2{ratio) values.

Among other sources of variability, systematic bias can be caused by the concentration and amount of DNA placed on the microarrays, wear to arraying equipment such as spotting pins, the quantities of mRNA extracted from samples, reverse transcription bias, lack of spatial homogeneity of the slides, scanner settings, saturation effects, background fluorescence, linearity of detection response, and ambient conditions [10]. In addition, dye bias is present in almost all multichannel experiments. Generally, Cy5 (red) intensities tend to be higher than Cy3 (green) intensities, but the magnitude of the difference generally depends on the overall intensity [10].

Such redundancy is actually a valuable feature of the genetic code, rendering it more robust in the event of small errors in the transcription process. This will be discussed in the next subsection. 2 Transcription and Gene Expression Transcription is the process of synthesizing R N A using genes as templates. A gene is expressed when, t h r o u g h the transcription process, its coding is transferred to an R N A molecule. To initiate a transcription process, the DNA double helix is "unzipped," starting at the promoter site of a gene.

Download PDF sample

Advanced analysis of gene expression microarray data by Aidong Zhang


by Joseph
4.4

Rated 4.85 of 5 – based on 7 votes