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Microarrays emerges more and more to be an inevitable tool for molecular biology research. Indeed, the technological progresses of these few years make possible cells whole genome studies in a single experiment. It explains why genes-expression profiling studies are more frequently used in medical research as well as in the clinical reality.
In 2006, some researchers form the Massachusset Institute of Technology described a new microarray application : the Connectivity Map. It consists in a collection of gene-expression profiles that allows to connect biological process, diseases and small molecules.
This innovating microarray application held our mind. It’s why we decided to learn more about the fonctionnality and the uses of this tool. So we used the data from some UCL researchers to improve the Connectivity Map Les microarrays s’imposent de plus en plus comme un outil incontournable pour la recherche en biologie moléculaire. En effet, avec les progrès technologiques de ces dernières années, il est désormais possible d’étudier l’expression de l’ensemble des gènes d’une lignée cellulaire en une seule manipulation. C’est ainsi que les études de profils d’expression génomique prennent une place grandissante dans la recherche médicale ainsi que dans la réalité clinique.
En 2006, des chercheurs du Massachusset Institute of Technology ont décrit une nouvelle application de ces microarrays : le Connectivity Map. Il s’agit d’une banque de données permettant de relier des états biologiques et des molécules pharmacologiques, en se basant sur les profils d’expression génomique.
Cette utilisation innovante des microarrays a retenu toute notre attention. C’est pourquoi nous avons essayé de comprendre le principe de fonctionnement et les intérêts de cet outil. Des expériences effectuées par des chercheurs de l’UCL nous ont servi de base afin de tester ce Connectivity Map

Oligonucleotide Array Sequence Analysis --- Pharmacogenetics

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DNA microarrays --- Immune response --- Immunity --- Oligonucleotide Array Sequence Analysis --- Vaccines

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DNA microarrays. --- Oligonucleotide Array Sequence Analysis --- Data Interpretation, Statistical. --- Gene Expression Profiling --- Research Design.

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DNA microarrays have revolutionized molecular biology and are becoming a standard tool in the field. Dov Stekel's book is a comprehensive guide to the mathematics, statistics and computing required to use microarrays successfully. Unlike traditional molecular biology, the successful use of DNA microarrays requires the application of statistics and computing to design the arrays and experiments, and to analyze and manage the data. This book is written for researchers, clinicians and laboratory managers.

Biomathematics. Biometry. Biostatistics --- Molecular biology --- DNA microarrays --- Bioinformatics --- Oligonucleotide Array Sequence Analysis --- Computational Biology --- Gene Expression Profiling --- Mathematics --- Data processing --- Statistical methods --- methods --- statistics & numerical data --- Bioinformatics. --- Data processing. --- Mathematics. --- Statistical methods. --- DNA microarrays - Mathematics --- DNA microarrays - Data processing --- DNA microarrays - Statistical methods --- Oligonucleotide Array Sequence Analysis - methods --- Oligonucleotide Array Sequence Analysis - statistics & numerical data --- Gene Expression Profiling - methods

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Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. This book is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data, from getting good data to obtaining meaningful results. Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientists working with microarray data, the book is also suitable for postgraduate students of bioinformatics.

Biomathematics. Biometry. Biostatistics --- Oligonucleotide Array Sequence Analysis --- Statistics --- DNA microarrays --- Puces à ADN --- methods --- Statistical methods. --- Méthodes statistiques --- Statistics as Topic --- DNA biochips --- Microarrays, DNA --- Biochips --- Immobilized nucleic acids --- Statistical methods