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Statistical Analysis of Gene Expression Microarray Data 2 reviews
Chapman & Hall/CRC, 2003
Outstanding survey
+ Excellent book for data analyst
Microarray studies are becoming the preferred research tools in many areas, including cancer research, development studies, and studies in organisms' responses to their environments. Because of differences between organisms or between experiments, microarray data is always statistical in nature. ...
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Mining Graph Data 1 review
Wiley-Interscience, 2006
Excellent survey
This book provides a great survey of some recent advances in graph mining. When I started studying graph mining a few years back, there was no single book or reference to get a good introduction to the field. This book would have saved me some time in getting a firm grasp on the issues in graph ...
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Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and ... 3 reviews
Springer, 2005
Book contains many chapters to help get you started
I purchased this book to learn specific details and look at applications for the functions present in bioconductor. I have had trouble applying some of the chapters to custom data because they are written for specific microarray/data formats. Overall, this book is a good value because it contains ...
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Pattern Classification (2nd Edition) 26 reviews
Richard O. Duda, Peter E. Hart, ...
Wiley-Interscience, 2000
excellent revision of a classical text on statistical pattern recognition
+ Great product & service
The 1973 book by Duda and Hart was a classic. It surveyed the literature on pattern classification and scene analysis and provided the practitioner with wonderful insight and exposition of the subject. In the intervening 28 years the field has exploded and there has been an enormous increase in ...
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Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health) 3 reviews
Warren J. Ewens, Gregory Grant
Springer, 2005
Most Elegant Account of Bioinformatics
+ Digital library is not that usable - book itself is great
+ Lots of material made accessible
I was impressed with the 1st edition of this book for its most comprehensive and elegant of statistical techniques in bioinformatics. The book is slightly below the level of the now classic M S Waterman (1995)book:Introduction to Computational Biology: Maps, Sequences and Genomes (Interdisciplinary ...
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Statistics in Genetics & Environmental Sciences
W. Stahel
Birkhäuser Basel, 2001
This book grew out of a workshop on statistics in the sciences held on Monte Verità, Switzerland, in the spring of 1999. It offers a snapshot of the role played by statistics in genetics and in the environmental sciences. A few papers dwell on genetic topics, others deal with risk assessment, in particular involving exposure to chemicals. Pollution is addressed in a survey of problems relating to ...
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Classification and Regression Trees6 reviews
Leo Breiman, Jerome Friedman, ...
Chapman & Hall/CRC, 1984
the book that made tree classification algorithms work better through the concept of pruning
+ The Original CART Resource
+ the book that made tree classification rigorous
+ A must have for all serious decision trees researchers
+ Instructive and Powerful
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The Statistics of Gene Mapping (Statistics for Biology and Health)1 review
David Siegmund, Benjamin Yakir
Springer, 2007
another great book by Siegmund
David Siegmund is a famous probabilist who is both a great lecturer and writer. I personally audited his advanced probability course at Stanford. He coauthored a book on optimal stopping with Herb Robbins and has written other fine books on sequential analysis and repeated significance testing. ...
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Mathematical Population Genetics
Warren J. Ewens
Springer, 2004
Population genetics occupies a central role in a number of important biological and social undertakings. It is fundamental to our understanding of evolutionary processes, of plant and animal breeding programs, and of various diseases of particular importance to mankind. This is the first of a planned two-volume work discussing the mathematical aspects of population genetics, with an emphasis ...
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Principles of Data Mining (Adaptive Computation and Machine Learning)17 reviews
David J. Hand, Heikki Mannila, ...
The MIT Press, 2001
finally a good statistical and computer science perspective on data mining
+ It shows me many examples
+ Good book for overall breadth of alogrithms..
This book is not an introductory text. Anyone interested in a particular topic should consult the preface of the text to find out what it is about. The negative reviewers were not fair to the authors on that score. Had they read the preface they would have found out (1) how the authors define data ...
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Statistics in Genetics (The IMA Volumes in Mathematics and its Applications)
Springer, 1999
This volume contains refereed papers from a workshop on Statistics in Genetics held as part of the six-week symposium on Statistics in the Health Sciences held by the Institute of Mathematics and its Applications in the summer of 1997. The week on genetics provided a forum for lively discussion among an unusual mix of statistical scientists and population geneticists. The field of statistical ...
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Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health)
Rongling Wu, Changxing Ma, ...
Springer, 2007
The book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based marker and phenotypic data that arise in agriculture, forrestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping and assumes a background in regression analysis and maximum ...
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Information Visualization in Data Mining and Knowledge Discovery (The Morgan Kaufmann Series in Data ...4 reviews
Usama Fayyad, Georges Grinstein, ...
Morgan Kaufmann, 2001
Refreshingly Honest
+ Editor's note
+ Some good work but the editing could use some work
Actually, I found the non-sanitized and sometimes redundant nature of the coverage to be refreshingly honest. This is a book about a new field circling while getting a sense of direction. We very seldom get such an honest look into just how this sort of process happens. Instead, we get the bottom ...
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Introduction to Statistical Methods in Modern Genetics (Asian Mathematics Series)2 reviews
M.C. Yang
CRC, 2000
early book on statistical genetics
+ nice introduction to stat methods in genetic research
Mark Yang is a University of Florida Professor of Statistics. He has a strong engineering background and good training in biology and biochemistry. This interest led him to a careful understanding of the subject and the modern methods that are employed which rely more and more on statistics.
What ...
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Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with ...7 reviews
Galit Shmueli, Nitin R. Patel, ...
Wiley-Interscience, 2006
An Excellent Introduction, Works with Excel
+ Practical hands-on introduction to data mining
+ Good combination on the practical application and the theory of Data Mining
+ Excellent MBA/B-School Data Mining Book
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Data Mining Using SAS Enterprise Miner: A Case Study Approach1 review
SAS Publishing, 2003
Fast learning.
If you want or need to quick learn SAS Enterprise miner, this is very good opportunity to do that. At first, you get basic info about included functions and after that you go through good described case studies.
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Statistical Learning Theory4 reviews
Vladimir N. Vapnik
Wiley-Interscience, 1998
An excellent overview
+ statistical learning based on the VC class
+ new approach to inference based on VC dimension
+ Rich & Valuable
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The Nature of Statistical Learning Theory (Information Science and Statistics)5 reviews
Vladimir Vapnik
Springer, 1999
A research field described by the man who invented it
+ Remarkably readable tour of one path into machine learning
+ A very nice book to get ideas on support vector machines
Vapnik and collaborators have developed the field of statistical learning theory underlying recent advances in machine learning and artificial intelligence (e.g. support vector machines). This book almost accomplishes the formidable task of comprehensibly describing the essential ideas of ...
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Intelligent Data Analysis3 reviews
Springer, 2007
statistical data analysis, AI and neural nets
+ nice introduction to topic for computer science and stats
+ Broadly Useful Reference For Intellignet Data Analysis
This is a book by Springer Verlag that came out if 1999. This book introduces a lot of useful statistical tools and has chapters written by statisticians and computer scientists. The editors also contribute. They emphasize useful tools and computer tools. It includes material from the artificial ...
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The Elements of Statistical Learning27 reviews
T. Hastie, R. Tibshirani, ...
Springer, 2003
data mining from the viewpoint of statisticians
+ Good Book!
+ Excellent technical and conceptual overview
+ elements of statistical learning
+ Great statistics book.
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