Analysis of Dna Chips and Gene Networks 2.1 Low Level Analysis of Microarrays 2.1.1 Introduction 2.1.2 Microarray Technologies

Content Provider	Semantic Scholar
Author	Elkon, Rani Stolyarenko, Andrey V.
Copyright Year	2007
Abstract	This course deals with high level analysis of data gathered by microarrays. Different types of high level analysis include: • Clustering • Biclustering • Reconstruction of transcriptional networks • Induction of classification rules (diagnostic signatures) High level analysis methods are based on an expressions matrix. Each cell in this matrix represents the expression level of a gene under some biological condition. Low level analysis of microarrays is the set of methods used to obtain the expressions matrix from the physical data gathered from the microarray (i.e., luminance measurements for each probe on the array, see Figure 2.1). Low level analysis of microarrays extracts, normalizes and removes errors from the numerical data extracted from the luminance levels. There are two type of microarray technologies: • Single channel microarrays are presented with a single type of target (e.g., treatment cells). They provide absolute gene expression values and can only be used if the number of probes for each target is explicitly known.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.cs.tau.ac.il/~rshamir/ge/07/scribe/lec02.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article