Statistical bioinformatics with R:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Amsterdam [u.a.]
Elsevier, Acad. Press
2010
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XVI, 319 S. Ill., graph. Darst. |
| ISBN: | 9780123751041 0123751047 |
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| 245 | 1 | 0 | |a Statistical bioinformatics with R |c Sunil K. Mathur |
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Record in the Search Index
| _version_ | 1804142904225038336 |
|---|---|
| adam_text | STATISTICAL BIOINFORMATICB WITH R SUNIL K. MATHUR UNIVERSITY OF
MISSISSIPPI ELSEVIER AMSTERDAM * BOSTON * HEIDELBERG * LONDON NEW YORK *
OXFORD * PARIS * SAN DIEGO SAN FRANCISCO * SINGAPORE * SYDNEY * TOKYO
ACADEMIC PRESS IS AN IMPRINT OF ELSEVIER CONTENTS PREFACE IX
ACKNOWLEDGMENTS XV CHAPTER 1 INTRODUCTION 1 1.1 STATISTICAL
BIOINFORMATICS 1 1.2 GENETICS 3 1.3 CHI-SQUARE TEST 6 1.4 THE CELL AND
ITS FUNCTION 9 1.5 DNA 12 1.6 DNA REPLICATION AND REARRANGEMENTS 14 1.7
TRANSCRIPTION AND TRANSLATION 15 1.8 GENETIC CODE 16 1.9 PROTEIN
SYNTHESIS 19 EXERCISE 1 20 ANSWER CHOICES FOR QUESTIONS 1 THROUGH 15 21
CHAPTER 2 MICROARRAYS 23 2.1 MICROARRAY TECHNOLOGY 23 2.2 ISSUES IN
MICROARRAY 25 2.3 MICROARRAY AND GENE EXPRESSION AND ITS USES 29 2.4
PROTEOMICS 30 EXERCISE 2 31 CHAPTER 3 PROBABILITY AND STATISTICAL THEORY
33 3.1 THEORY OF PROBABILITY 34 3.2 MATHEMATICAL OR CLASSICAL
PROBABILITY 36 3.3 SETS 38 3.3.1 OPERATIONS ON SETS 39 3.3.2 PROPERTIES
OF SETS 40 3.4 COMBINATORICS 41 3.5 LAWS OF PROBABILITY 44 - 5S .
CONTENTS 3.6 RANDOM VARIABLES 53 3.6.1 DISCRETE RANDOM VARIABLE 55
3.6.2 CONTINUOUS RANDOM VARIABLE 56 3.7 MEASURES OF CHARACTERISTICS OF A
CONTINUOUS PROBABILITY DISTRIBUTION 57 3.8 MATHEMATICAL EXPECTATION 57
3.8.1 PROPERTIES OF MATHEMATICAL EXPECTATION 60 3.9 BIVARIATE RANDOM
VARIABLE 62 3.9.1 JOINT DISTRIBUTION 62 3.10 REGRESSION 71 3.10.1 LINEAR
REGRESSION 72 3.10.2 THE METHOD OF LEAST SQUARES 73 3.11 CORRELATION 78
3.12 LAW OF LARGE NUMBERS AND CENTRAL LIMIT THEOREM 80 CHAPTER 4 SPECIAL
DISTRIBUTIONS, PROPERTIES, AND APPLICATIONS 83 4.1 INTRODUCTION 83 4.2
DISCRETE PROBABILITY DISTRIBUTIONS 84 4.3 BERNOULLI DISTRIBUTION 84 4.4
BINOMIAL DISTRIBUTION 84 4.5 POISSON DISTRIBUTION 87 4.5.1 PROPERTIES OF
POISSON DISTRIBUTION 88 4.6 NEGATIVE BINOMIAL DISTRIBUTION 89 4.7
GEOMETRIC DISTRIBUTION 92 4.7.1 LACK OF MEMORY 93 4.8 HYPERGEOMETRIC
DISTRIBUTION 94 4.9 MULTINOMIAL DISTRIBUTION 95 4.10 RECTANGULAR (OR
UNIFORM) DISTRIBUTION 99 4.11 NORMAL DISTRIBUTION 100 4.11.1 SOME
IMPORTANT PROPERTIES OF NORMAL DISTRIBUTION AND NORMAL PROBABILITY CURVE
.... 101 4.11.2 NORMAL APPROXIMATION TO THE BINOMIAL 106 4.12 GAMMA
DISTRIBUTION 107 4.12.1 ADDITIVE PROPERTY OF GAMMA DISTRIBUTION 108
4.12.2 LIMITING DISTRIBUTION OF GAMMA DISTRIBUTION 108 4.12.3 WAITING
TIME MODEL 108 I * - * - - - - - - - - - . 1 ( CONTENTS 4.13 THE
EXPONENTIAL DISTRIBUTION 109 4.13.1 WAITING TIME MODEL 110 4.14 BETA
DISTRIBUTION 110 4.14.1 SOME RESULTS ILL 4.15 CHI-SQUARE DISTRIBUTION
ILL 4.15.1 ADDITIVE PROPERTY OF CHI-SQUARE DISTRIBUTION 112 4.15.2
LIMITING DISTRIBUTION OF CHI-SQUARE DISTRIBUTION 112 CHAPTER 5
STATISTICAL INFERENCE AND APPLICATIONS 113 5.1 INTRODUCTION 113 5.2
ESTIMATION 115 5.2.1 CONSISTENCY 115 5.2.2 UNBIASEDNESS 116 5.2.3
EFFICIENCY 118 5.2.4 SUFFICIENCY 120 5.3 METHODS OF ESTIMATION 121 5.4
CONFIDENCE INTERVALS 122 5.5 SAMPLE SIZE 132 5.6 TESTING OF HYPOTHESES
133 5.6.1 TESTS ABOUT A POPULATION MEAN 138 5.7 OPTIMAL TEST OF
HYPOTHESES 150 5.8 LIKELIHOOD RATIO TEST 156 CHAPTER 6 NONPARAMETRIC
STATISTICS 159 6.1 CHI-SQUARE GOODNESS-OF-FIT TEST 160 6.2
KOLMOGOROV-SMIRNOV ONE-SAMPLE STATISTIC 163 6.3 SIGN TEST 164 6.4
WILCOXON SIGNED-RANK TEST 166 6.5 TWO-SAMPLE TEST 169 6.5.1 WILCOXON
RANK SUM TEST 169 6.5.2 MANN-WHITNEY TEST 171 6.6 THE SCALE PROBLEM 174
6.6.1 ANSARI-BARDLEY TEST 175 6.6.2 LEPAGE TEST 178 6.6.3
KOLMOGOROV-SMIRNOV TEST 180 CONTENTS 6.7 GENE SELECTION AND CLUSTERING
OF TIME-COURSE OR DOSE-RESPONSE GENE EXPRESSION PROFILES 182 6.7.1
SINGLE FRACTAL ANALYSIS 184 6.7.2 ORDER-RESTRICTED INFERENCE 186 CHAPTER
7 BAYESIAN STATISTICS 189 7.1 BAYESIAN PROCEDURES 189 7.2 EMPIRICAL
BAYES METHODS 192 7.3 GIBBS SAMPLER 193 CHAPTER 8 MARKOV CHAIN MONTE
CARLO 203 8.1 THE MARKOV CHAIN 204 8.2 APERIODICITY AND IRREDUCIBILITY
213 8.3 REVERSIBLE MARKOV CHAINS 218 8.4 MCMC METHODS IN BIOINFORMATICS
220 CHAPTER 9 ANALYSIS OF VARIANCE 227 9.1 ONE-WAY ANOVA 228 9.2 TWO-WAY
CLASSIFICATION OF ANOVA 241 CHAPTER 10 THE DESIGN OF EXPERIMENTS 253
10.1 INTRODUCTION 253 10.2 PRINCIPLES OF THE DESIGN OF EXPERIMENTS 255
10.3 COMPLETELY RANDOMIZED DESIGN 256 10.4 RANDOMIZED BLOCK DESIGN 262
10.5 LATIN SQUARE DESIGN 270 10.6 FACTORIAL EXPERIMENTS 278 10.6.1 2 N
-FACTORIAL EXPERIMENT 279 10.7 REFERENCE DESIGNS AND LOOP DESIGNS 286
CHAPTER 11 MULTIPLE TESTING OF HYPOTHESES 293 11.1 INTRODUCTION 293 11.2
TYPE I ERROR AND FDR 294 11.3 MULTIPLE TESTING PROCEDURES 297 REFERENCES
305 INDEX 315
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| illustrated | Illustrated |
| indexdate | 2024-07-09T22:39:10Z |
| institution | BVB |
| isbn | 9780123751041 0123751047 |
| language | English |
| lccn | 2009050006 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020300753 |
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| owner | DE-11 DE-20 DE-355 DE-BY-UBR DE-29T DE-526 |
| owner_facet | DE-11 DE-20 DE-355 DE-BY-UBR DE-29T DE-526 |
| physical | XVI, 319 S. Ill., graph. Darst. |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Elsevier, Acad. Press |
| record_format | marc |
| spelling | Mathur, Sunil K. Verfasser aut Statistical bioinformatics with R Sunil K. Mathur Amsterdam [u.a.] Elsevier, Acad. Press 2010 XVI, 319 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Bioinformatics / Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf Bioinformatik (DE-588)4611085-9 s Statistik (DE-588)4056995-0 s R Programm (DE-588)4705956-4 s DE-604 HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020300753&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Mathur, Sunil K. Statistical bioinformatics with R Bioinformatics / Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd Statistik (DE-588)4056995-0 gnd Bioinformatik (DE-588)4611085-9 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4056995-0 (DE-588)4611085-9 |
| title | Statistical bioinformatics with R |
| title_auth | Statistical bioinformatics with R |
| title_exact_search | Statistical bioinformatics with R |
| title_full | Statistical bioinformatics with R Sunil K. Mathur |
| title_fullStr | Statistical bioinformatics with R Sunil K. Mathur |
| title_full_unstemmed | Statistical bioinformatics with R Sunil K. Mathur |
| title_short | Statistical bioinformatics with R |
| title_sort | statistical bioinformatics with r |
| topic | Bioinformatics / Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd Statistik (DE-588)4056995-0 gnd Bioinformatik (DE-588)4611085-9 gnd |
| topic_facet | Bioinformatics / Statistical methods R (Computer program language) R Programm Statistik Bioinformatik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020300753&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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