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Probabilistic Methods for Bioinformatics
book

Probabilistic Methods for Bioinformatics

by Richard E. Neapolitan
June 2009
Intermediate to advanced
424 pages
9h 59m
English
Morgan Kaufmann
Content preview from Probabilistic Methods for Bioinformatics

Index

Absolute fitness, 230, 234
Abstract model, 8
Accountability, 120
Algorithm
heuristic, 8
model-based, 8
Allele, 68
dominant, 69
less fit, 236
more fit, 236
recessive, 69
relative frequency, 225
Amino acid, 72
Ancestor, 89
Antisense strand, 72
Aperiodic state, 52
Base, 71
Bayes’ Theorem, 17, 33, 85
Bayesian, 35
Bayesian information criterion (BIC), 188, 218, 307
Bayesian network, 86, 90
embedded, 124
equivalent sample size in, 170
Gaussian, 112
hybrid, 115
inference algorithms and pack-ages, 108
inference in, 104
model averaging and, 206
approximate, 214
noisy OR-gate model in, 117
parameter learning in, 165
parameters, 158, 177
structure, 177
structure learning in approximate, 209
constraint-based, 192
score-based, 179
software packages ...
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Publisher Resources

ISBN: 9780123704764