عنوان

Analyzing the large numbers of variables in biomedical and satellite imagery

(Number (ISBN

9780470927144 (pbk.)

Country Code

IR

Number

E-6077

.Language of Text, Soundtrack etc

انگلیسی

Country of publication

IR

Title Proper

Analyzing the large numbers of variables in biomedical and satellite imagery

General Material Designation

[Book]

First Statement of Responsibility

/ Phillip I. Good

Place of Publication, Distribution, etc.

Hoboken, N.J.

Name of Publisher, Distributor, etc.

: Wiley,

Date of Publication, Distribution, etc.

, c2011.

Specific Material Designation and Extent of Item

xii, 185 p. , ill. , 24 cm.

Text of Note

Print

Text of Note

Includes bibliographical references and indexes.

Text of Note

8.7.2.Supervised Principal Components Applied to Microarrays --8.8.Ensemble Methods --8.9.Maximally Diversified Multiple Trees --8.10.Putting It All Together --8.11.Summary --8.12.To Learn More --Glossary of Biomedical Terminology --Glossary of Statistical Terminology --Appendix: An R Primer --R1.Getting Started --R1.1.R Functions --R1.2.Vector Arithmetic --R2.Store and Retrieve Data --R2.1.Storing and Retrieving Files from Within R --R2.2.The Tabular Format --R2.3.Comma Separated Format --R3.Resampling --R3.1.The While Command --R4.Expanding R's Capabilities --R4.1.Downloading Libraries of R Functions --R4.2.Programming Your Own Functions.

Text of Note

6.8.Summary --6.9.To Learn More --7.Classification Methods --7.1.Nearest Neighbor Methods --7.2.Discriminant Analysis --7.3.Logistic Regression --7.4.Principal Components --7.5.Naive Bayes Classifier --7.6.Heuristic Methods --7.7.Decision Trees --7.7.1.A Worked-Through Example --7.8.Which Algorithm Is Best for Your Application? --7.8.1.Some Further Comparisons --7.8.2.Validation Versus Cross-validation --7.9.Improving Diagnostic Effectiveness --7.9.1.Boosting --7.9.2.Ensemble Methods --7.9.3.Random Forests --7.10.Software for Decision Trees --7.11.Summary --8.Applying Decision Trees --8.1.Photographs --8.2.Ultrasound --8.3.MRI Images --8.4.EEGs and EMGs --8.5.Misclassification Costs --8.6.Receiver Operating Characteristic --8.7.When the Categories Are As Yet Undefined --8.7.1.Unsupervised Principal Components Applied to fMRI.

Text of Note

5.5.Software for Performing Multiple Simultaneous Tests --5.5.1.AFNI --5.5.2.Cyber-T --5.5.3.dChip --5.5.4.ExactFDR --5.5.5.GESS --5.5.6.HaploView --5.5.7.MatLab --5.5.8.R --5.5.9.SAM --5.5.10.ParaSam --5.6.Summary --5.7.To Learn More --6.The Bootstrap --6.1.Samples and Populations --6.2.Precision of an Estimate --6.2.1.R Code --6.2.2.Applying the Bootstrap --6.2.3.Bootstrap Reproducibility Index --6.2.4.Estimation in Regression Models --6.3.Confidence Intervals --6.3.1.Testing for Equivalence --6.3.2.Parametric Bootstrap --6.3.3.Blocked Bootstrap --6.3.4.Balanced Bootstrap --6.3.5.Adjusted Bootstrap --6.3.6.Which Test? --6.4.Determining Sample Size --6.4.1.Establish a Threshold --6.5.Validation --6.5.1.Cluster Analysis --6.5.2.Correspondence Analysis --6.6.Building a Model --6.7.How Large Should The Samples Be?

Text of Note

3.2.4.Adjusting for Covariates --3.2.5.Pre-Post Comparisons --3.2.6.Choosing a Statistic: Time-Course Microarrays --3.3.Recommended Approaches --3.4.To Learn More --4.Biological Background --4.1.Medical Imaging --4.1.1.Ultrasound --4.1.2.EEG/MEG --4.1.3.Magnetic Resonance Imaging --4.1.3.1.MRI --4.1.3.2.fMRI --4.1.4.Positron Emission Tomography --4.2.Microarrays --4.3.To Learn More --5.Multiple Tests --5.1.Reducing the Number of Hypotheses to Be Tested --5.1.1.Normalization --5.1.2.Selection Methods --5.1.2.1.Univariate Statistics --5.1.2.2.Which Statistic? --5.1.2.3.Heuristic Methods --5.1.2.4.Which Method? --5.2.Controlling the Over All Error Rate --5.2.1.An Example: Analyzing Data from Microarrays --5.3.Controlling the False Discovery Rate --5.3.1.An Example: Analyzing Time-Course Data from Microarrays --5.4.Gene Set Enrichment Analysis.

Text of Note

Machine generated contents note:1.Very Large Arrays --1.1.Applications --1.2.Problems --1.3.Solutions --2.Permutation Tests --2.1.Two-Sample Comparison --2.1.1.Blocks --2.2.k-Sample Comparison --2.3.Computing The p-Value --2.3.1.Monte Carlo Method --2.3.2.An R Program --2.4.Multiple-Variable Comparisons --2.4.1.Euclidean Distance Matrix Analysis --2.4.2.Hotelling's T2 --2.4.3.Mantel's U --2.4.4.Combining Univariate Tests --2.4.5.Gene Set Enrichment Analysis --2.5.Categorical Data --2.6.Software --2.7.Summary --3.Applying the Permutation Test --3.1.Which Variables Should Be Included? --3.2.Single-Value Test Statistics --3.2.1.Categorical Data --3.2.2.A Multivariate Comparison Based on a Summary Statistic --3.2.3.A Multivariate Comparison Based on Variants of Hotelling's T2.

Data mining

Mathematical statistics

Biomedical engineering, Data processing

Remote sensing, Data processing

Functions of several complex variables

Number

Class number

Book number

Good, Phillip I.

Country

ایران

old catalog

p

BL

1

a

Y