Methods of Microarray Data Analysis
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Published By Springer US

9781461352815, 9781461508731

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Iterative Linear Regresssion by Sector

Methods of Microarray Data Analysis ◽

10.1007/978-1-4615-0873-1_5 ◽

2002 ◽

pp. 57-67 ◽

Cited By ~ 3

Author(s):

David B. Finkelstein ◽

Rob Ewing ◽

Jeremy Gollub ◽

Fredrik Sterky ◽

Shauna Somerville ◽

...

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Introduction

Methods of Microarray Data Analysis ◽

10.1007/978-1-4615-0873-1_1 ◽

2002 ◽

pp. 1-3

Author(s):

Simon M. Lin ◽

Kimberly F. Johnson

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Classical Statistical Approaches to Molecular Classification of Cancer from Gene Expression Profiling

Methods of Microarray Data Analysis ◽

10.1007/978-1-4615-0873-1_8 ◽

2002 ◽

pp. 97-107 ◽

Cited By ~ 1

Author(s):

Jun Lu ◽

Sarah Hardy ◽

Wen-Li Tao ◽

Spencer Muse ◽

Bruce Weir ◽

...

Keyword(s):

Gene Expression ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Molecular Classification ◽

Statistical Approaches

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Data Mining and Machine Learning Methods for Microarray Analysis

Methods of Microarray Data Analysis ◽

10.1007/978-1-4615-0873-1_2 ◽

2002 ◽

pp. 5-22 ◽

Cited By ~ 1

Author(s):

Werner Dubitzky ◽

Martin Granzow ◽

Daniel Berrar

Keyword(s):

Machine Learning ◽

Data Mining ◽

Microarray Analysis ◽

Learning Methods ◽

Machine Learning Methods

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How Many Genes are Needed for a Discriminant Microarray Data Analysis

Methods of Microarray Data Analysis ◽

10.1007/978-1-4615-0873-1_11 ◽

2002 ◽

pp. 137-149 ◽

Cited By ~ 34

Author(s):

Wentian Li ◽

Yaning Yang

Keyword(s):

Data Analysis ◽

Microarray Data ◽

Microarray Data Analysis

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Classification of Acute Leukemia Based on DNA Microarray Gene Expressions Using Partial Least Squares

Methods of Microarray Data Analysis ◽

10.1007/978-1-4615-0873-1_9 ◽

2002 ◽

pp. 109-124 ◽

Cited By ~ 1

Author(s):

Danh V. Nguyen ◽

David M. Rocke

Keyword(s):

Acute Leukemia ◽

Least Squares ◽

Partial Least Squares ◽

Dna Microarray ◽

Gene Expressions ◽

Microarray Gene

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Using Non-Parametric Methods in the Context of Multiple Testing to Determine Differentially Expressed Genes

Methods of Microarray Data Analysis ◽

10.1007/978-1-4615-0873-1_4 ◽

2002 ◽

pp. 37-55 ◽

Cited By ~ 3

Author(s):

Gregory Grant ◽

Elisabetta Manduchi ◽

Christian Stoeckert

Keyword(s):

Differentially Expressed Genes ◽

Multiple Testing ◽

Differentially Expressed ◽

Parametric Methods ◽

Non Parametric

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A Method to Improve Detection of Disease Using Selectively Expressed Genes in Microarray Data

Methods of Microarray Data Analysis ◽

10.1007/978-1-4615-0873-1_6 ◽

2002 ◽

pp. 69-80 ◽

Cited By ~ 4

Author(s):

Virginie Aris ◽

Michael Recce

Keyword(s):

Microarray Data

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Comparing Symbolic and Subsymbolic Machine Learning Approaches to Classification of Cancer and Gene Identification

Methods of Microarray Data Analysis ◽

10.1007/978-1-4615-0873-1_12 ◽

2002 ◽

pp. 151-165 ◽

Cited By ~ 1

Author(s):

Werner Dubitzky ◽

Martin Granzow ◽

Daniel Berrar

Keyword(s):

Machine Learning ◽

Gene Identification ◽

Learning Approaches

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Computational Analysis of Leukemia Microarray Expression Data Using the GA/KNN Method

Methods of Microarray Data Analysis ◽

10.1007/978-1-4615-0873-1_7 ◽

2002 ◽

pp. 81-95 ◽

Cited By ~ 6

Author(s):

Leping Li ◽

Lee. G. Pedersen ◽

Thomas A. Darden ◽

Clarice R. Weinberg

Keyword(s):

Computational Analysis ◽

Expression Data ◽

Microarray Expression Data ◽

Microarray Expression

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Methods of Microarray Data AnalysisLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer US

Iterative Linear Regresssion by Sector

Introduction

Classical Statistical Approaches to Molecular Classification of Cancer from Gene Expression Profiling

Data Mining and Machine Learning Methods for Microarray Analysis

How Many Genes are Needed for a Discriminant Microarray Data Analysis

Classification of Acute Leukemia Based on DNA Microarray Gene Expressions Using Partial Least Squares

Using Non-Parametric Methods in the Context of Multiple Testing to Determine Differentially Expressed Genes

A Method to Improve Detection of Disease Using Selectively Expressed Genes in Microarray Data

Comparing Symbolic and Subsymbolic Machine Learning Approaches to Classification of Cancer and Gene Identification

Computational Analysis of Leukemia Microarray Expression Data Using the GA/KNN Method

Methods of Microarray Data Analysis
Latest Publications