Read Data Analysis and Classification for Bioinformatics by Arun Jagota Online
Read [Arun Jagota Book] # Data Analysis and Classification for Bioinformatics Online * PDF eBook or Kindle ePUB free. Data Analysis and Classification for Bioinformatics With the explosion of sequence data in public and private databases and the coming explosion of gene expression data in a similar vein, it is becoming increasingly important to understand how to apply well-established data analysis and data classification methods that have been developed in other fields to this field---to try to make sense of the data, to glean biological insights from it, to categorize the data, and to put all of these to good use in industrial applications. This book introduce
| Title | : | Data Analysis and Classification for Bioinformatics |
| Author | : | |
| Rating | : | 4.88 (696 Votes) |
| Asin | : | 0970029705 |
| Format Type | : | paperback |
| Number of Pages | : | 100 Pages |
| Publish Date | : | 2015-10-14 |
| Language | : | English |
. He teaches courses in bioinformatics at the University of California, Santa Cruz extension, and courses in computer science at the University of California, Santa Cruz, at Santa Clara University, and at San Jose State University. He has been a visiting faculty member at University of Memphis and at The University of North Texas and an affiliated faculty member at the University of California, Santa Cruz. About the Author The author is a PhD in computer science from The State University of New York at Buffalo
Not good for students and beginners Despite of an appearance of being mathematically sound, Jagota's book is full of hand-waving and imprecision. The author jumps from one topic to another using unexplained terminology (particularly in examples.) I also don't trust the author's attitude of c. A Customer said Somewhat disappointed. I'm a beginner to the field, but have decent mathematical background. This book reads more like a collection of teacher's notes than a clear guide to understanding the subject areas. It could use better organization such as placing clear explanations of wh. "A "must have" for computational biology students!" according to M&M. As a bioinformatics certificate student in Dr. Jagota's summer 2000 offering of "Data Analysis, Modeling, and Visualization" at UC Santa Cruz, I have read this text cover-to-cover and have listened to lectures based on the book. In a complete yet concise w
The author is a PhD in computer science from The State University of New York at Buffalo. He teaches courses in bioinformatics at the University of California, Santa Cruz extension, and courses in computer science at the University of California, Santa Cruz, at Santa Clara University, and at San Jose State University. . He has bee
With the explosion of sequence data in public and private databases and the coming explosion of gene expression data in a similar vein, it is becoming increasingly important to understand how to apply well-established data analysis and data classification methods that have been developed in other fields to this field---to try to make sense of the data, to glean biological insights from it, to categorize the data, and to put all of these to good use in industrial applications. This book introduces the main methods of data analysis and of data classification--as applied to sequence and gene expression analysis--to the biologist and to the computer scientist in this field. It contains material that is presently being taught by the author in the course Data Analysis, Modeling, and Visualization for Bioinformatics at the University of California, Santa Cruz Extension to workers in the biotechnology industry in Silicon Valley.
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