1. INTRODUCTION

In this section we present genetic programming, being the fourth member of the evolutionary algorithm family. Besides the particular representation (using trees as chromosomes) it differs from other EA strands in its application area. While the EAs are typically applied to optimization problems, GP could be rather positioned in machine learning. In terms of nature of this deferent problem types, most other EAs are used for finding some input realizing maximum payoff, whereas GP is used to seek models with maximum fit. Clear ....etc

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Abstract—Microarray technology is one of the important biotechnological means that allows to record the expression levels of thousands of genes simultaneously within a number of different samples. An important application of microarray gene expression data in functional genomics is to classify samples according to their gene expression profiles. Among the large amount of genes presented in gene expression data, only a small fraction of them is effective for performing a certain diagnostic test. Hence, one of the major tasks with the gene expr ....etc

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Genetic programming (GP) is an automated methodology inspired by biological evolution to find computer programs that best perform a user-defined task. It is therefore a particular machine learning technique that uses an evolutionary algorithm to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task. The first experiments with GP were reported by Stephen F. Smith (1980) and Nichael L. Cramer (1985), as described in the famous book Genetic Programming: O ....etc

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Mining Microarray



ORIGIN OF MICROARRAY


-Many experiments on molecular biology since 1970

-Development of DNA sequencing

-Polymerase Chain Reaction (PCR)

WHAT IS MICROARRAY ?


-Ordered set of DNA molecule of known sequence

-May consists of few hundreds to hundred of thousands

-Individual feature in the array at precisely definite location of the substrate

-Identity of the DNA molecule never changes


IMPORTANCE OF MICROARRAY ....etc

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Overview

A genetic disease or disorder is any disease that is caused by an abnormality in an individual's genome. The abnormality can range from minuscule to major -- from a discrete mutation in a single base in the DNA of a single gene to a gross chromosome abnormality involving the addition or subtraction of an entire chromosome or set of chromosomes.

1). Single gene inheritance -- Also called Mendelian or monogenic inheritance. This type of inheritance is caused by changes or mutations that occur in the DNA sequence of a single gene. T ....etc

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Genetic programming (GP) is an Automated Methodology

Genetic programming (GP) is an automated methodology inspired by biological evolution to find computer programs that best perform a user-defined task. It is therefore a particular machine learning technique that uses an evolutionary algorithm to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task.

The first experiments with GP were reported by Steph ....etc

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Automatic Gridding for DNA Microarray Image Using Image Projection Profile



Abstract

DNA microarray is powerful tool and widely used in many areas.
DNA microarray is produced from control and test tissue sample cDNAs, which
are labeled with two different fluorescent dyes. After hybridization using a laser
scanner, microarray images are obtained. Image analysis play an important role
in extracting fluorescence intensity from microarray image. First step ....etc

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Genetic programming (GP) is an automated methodology inspired by biological evolution to find computer programs that best perform a user-defined task. It is therefore a particular machine learning technique that uses an evolutionary algorithm to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task. The first experiments with GP were reported by Stephen F. Smith (1980) and Nichael L. Cramer (1985), as described in the famous book Genetic Programming: O ....etc

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Visualization of Microarray Data
Contents:
Introduction
Visualization Methods
Visualization Tools
Comparison between Tools
Experiments
Conclusion
Introduction
Microarray
Advancing with numerous applications in gene expression, genotyping, cell biology.
Helps researchers to
Learn more about diseases.
Study of Cancer.
Overview
Visualization of Microarray Data
Heat Maps
Dendrograms
TreeMaps
Scatter-Plots (2-D/3-D).
Box Plot
Clusterview and Treeview.
organize and analyze the data in ma ....etc

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Genetic programming (GP) is an automated methodology inspired by biological evolution to find computer programs that best perform a user-defined task. It is therefore a particular machine learning technique that uses an evolutionary algorithm to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task. The first experiments with GP were reported by Stephen F. Smith (1980) and Nichael L. Cramer (1985), as described in the famous book Genetic Programming: O ....etc

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