Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science
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9783540787563, 9783540787570

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Mining Gene Expression Patterns for the Discovery of Overlapping Clusters

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78757-0_11 ◽

2008 ◽

pp. 117-128

Author(s):

Patrick C. H. Ma ◽

Keith C. C. Chan

Keyword(s):

Gene Expression ◽

Expression Patterns ◽

Gene Expression Patterns ◽

Overlapping Clusters

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Detection of Protein Complexes in Protein Interaction Networks Using n-Clubs

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78757-0_14 ◽

2008 ◽

pp. 153-164 ◽

Cited By ~ 13

Author(s):

Srinivas Pasupuleti

Keyword(s):

Protein Interaction ◽

Protein Complexes ◽

Protein Interaction Networks ◽

Interaction Networks

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Frequent Subsplit Representation of Leaf-Labelled Trees

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78757-0_9 ◽

2008 ◽

pp. 95-105 ◽

Cited By ~ 1

Author(s):

Jakub Koperwas ◽

Krzysztof Walczak

Keyword(s):

Labelled Trees

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Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78757-0_13 ◽

2008 ◽

pp. 141-152 ◽

Cited By ~ 3

Author(s):

Carlotta Orsenigo

Keyword(s):

Microarray Data ◽

Gene Selection ◽

Data Classification ◽

Mixed Integer ◽

Integer Optimization ◽

Mixed Integer Optimization

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Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78757-0_12 ◽

2008 ◽

pp. 129-140 ◽

Cited By ~ 17

Author(s):

Jason H. Moore ◽

Peter C. Andrews ◽

Nate Barney ◽

Bill C. White

Keyword(s):

Genetic Analysis ◽

Human Diseases ◽

Evolution System

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Detection of Quantitative Trait Associated Genes Using Cluster Analysis

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78757-0_8 ◽

2008 ◽

pp. 83-94 ◽

Cited By ~ 2

Author(s):

Zhenyu Jia ◽

Sha Tang ◽

Dan Mercola ◽

Shizhong Xu

Keyword(s):

Cluster Analysis ◽

Quantitative Trait

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Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78757-0_15 ◽

2008 ◽

pp. 165-176 ◽

Cited By ~ 8

Author(s):

Jose M. Peña

Keyword(s):

False Discovery Rate ◽

Graphical Models ◽

Rate Control ◽

Gene Networks ◽

Gaussian Graphical Models ◽

False Discovery Rate Control ◽

False Discovery

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Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78757-0_3 ◽

2008 ◽

pp. 24-35 ◽

Cited By ~ 22

Author(s):

Todd L. Edwards ◽

William S. Bush ◽

Stephen D. Turner ◽

Scott M. Dudek ◽

Eric S. Torstenson ◽

...

Keyword(s):

Linkage Disequilibrium

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A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78757-0_17 ◽

2008 ◽

pp. 188-199 ◽

Cited By ~ 9

Author(s):

Axel J. Soto ◽

Rocío L. Cecchini ◽

Gustavo E. Vazquez ◽

Ignacio Ponzoni

Keyword(s):

Feature Selection ◽

Feature Selection Method ◽

Evolutionary Computing ◽

Selection Method

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Inference on Missing Values in Genetic Networks Using High-Throughput Data

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78757-0_10 ◽

2008 ◽

pp. 106-116 ◽

Cited By ~ 1

Author(s):

Zdena Koukolíková-Nicola ◽

Pietro Liò ◽

Franco Bagnoli

Keyword(s):

High Throughput ◽

Missing Values ◽

Genetic Networks ◽

High Throughput Data

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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Mining Gene Expression Patterns for the Discovery of Overlapping Clusters

Detection of Protein Complexes in Protein Interaction Networks Using n-Clubs

Frequent Subsplit Representation of Leaf-Labelled Trees

Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization

Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases

Detection of Quantitative Trait Associated Genes Using Cluster Analysis

Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control

Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA

A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing

Inference on Missing Values in Genetic Networks Using High-Throughput Data

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science
Latest Publications