Microarray Data Analysis and Visualization
| Author | : | |
| Rating | : | 4.50 (684 Votes) |
| Asin | : | 097002973X |
| Format Type | : | paperback |
| Number of Pages | : | 101 Pages |
| Publish Date | : | 2014-03-10 |
| Language | : | English |
DESCRIPTION:
The author also conducts research in bioinformatics and the allied fields of neural networks and machine learning. The author has a PhD in computer science from the State University of New York at Buffalo. He presently teaches a number of bioinformatics courses at the University of California, Santa Cruz, extension, and has taught more than ten different courses, ranging from short to longer, on diverse topics in this fascinating field. He has more than twenty research publications in journals and about the same number in conference records. . He has also been an adjunct faculty member at the University of California, Santa Cruz, at the University of Memphis, and at the University of North Texas. About the Author Arun Jagota is a research associate at the University of
To realize the benefits of this technology, the flood of data being produced needs to be analyzed in various ways. (It is essential to obtain a thorough understanding of the inner workings of a statistical test to be able to use it effectively.) The mathematician or the computer scientist working on or having a keen interest in microarray data analysis will find the algorithmic descriptions useful. There is also a brief chapter on the emerging area of inferring gene networks from microarray data. Gene chips are enabling the simultaneous monitoring of the expression levels of thousands of genes. T
Poorly organized booklet about microarray analysis Hung-yao Ho I am a biologist working on microarray data. When I saw the title, I believed this book will givw us a description, basis and practical applications for most of microarray analysis methods. However, after I read this, I feel frustrated. This book is full of mathematical terms. The author just mentioned these terms without giving out some explanations, and no background for these mathematical stuff is given. Even though he gave beautiful title for each chapter like " Identifying genes expressed differently in two populations", he did not tell you how to do so, ho. This is an outline, not a book A Customer This is a very thin book, and I use the term "book" loosely. It appears to be a hastily-typeset and published collection of terse lecture notes in near-outline form. It doesn't explain microarray data analysis, but is rather more of an annotated listing of statistical methods useful in analyzing microarray data. For the biologist looking for conceptual content, it is nearly useless. It lists a lot of equations without explaining how and why they are used, or under what circumstances. A much better book is Steen Knudsen's A Biologists Guide to Analysis of DNA Mic. "excellant book in hour of need" according to rajeshwar g. This is excellent book in the present age of micro array analysis.It gave a over view of microarray analysis with avalable softwares in public domain and commercial, for microarray data analysis.Those who are in the bioinformatics I feel it is must since micro arrays changed the filed of bioinformatics like anything,which is un imaginable at one point of time.
He presently teaches a number of bioinformatics courses at the University of California, Santa Cruz, extension, and has taught more than ten different courses, ranging from short to longer, on diverse topics in this fascinating field. He has also been an adjunct faculty member at the University of California, Santa Cruz, at the University of Memphis, and at the University of North Texas. Arun Jagota is a research associate at the University of California, Santa Cruz, and