Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642371882, 9783642371899

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Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach

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

10.1007/978-3-642-37189-9_5 ◽

2013 ◽

pp. 43-55 ◽

Cited By ~ 15

Author(s):

Soha Ahmed ◽

Mengjie Zhang ◽

Lifeng Peng

Keyword(s):

Mass Spectrometry ◽

Feature Selection ◽

Genetic Programming ◽

Mass Spectrometry Data ◽

High Dimensional ◽

Programming Approach

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Emergence of Motifs in Model Gene Regulatory Networks

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

10.1007/978-3-642-37189-9_19 ◽

2013 ◽

pp. 212-215

Author(s):

Marcin Zagórski

Keyword(s):

Gene Regulatory Networks ◽

Regulatory Networks ◽

Gene Regulatory

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Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction

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

10.1007/978-3-642-37189-9_18 ◽

2013 ◽

pp. 200-211 ◽

Cited By ~ 2

Author(s):

Jonathan M. Fisher ◽

Peter Andrews ◽

Jeff Kiralis ◽

Nicholas A. Sinnott-Armstrong ◽

Jason H. Moore

Keyword(s):

Dimensionality Reduction ◽

Multifactor Dimensionality Reduction ◽

Gene Interactions

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Mining for Variability in the Coagulation Pathway: A Systems Biology Approach

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

10.1007/978-3-642-37189-9_14 ◽

2013 ◽

pp. 153-164

Author(s):

Davide Castaldi ◽

Daniele Maccagnola ◽

Daniela Mari ◽

Francesco Archetti

Keyword(s):

Systems Biology ◽

Coagulation Pathway

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Hybrid Genetic Algorithms for Stress Recognition in Reading

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

10.1007/978-3-642-37189-9_11 ◽

2013 ◽

pp. 117-128 ◽

Cited By ~ 7

Author(s):

Nandita Sharma ◽

Tom Gedeon

Keyword(s):

Genetic Algorithms ◽

Hybrid Genetic Algorithms ◽

Stress Recognition

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Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases

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

10.1007/978-3-642-37189-9_1 ◽

2013 ◽

pp. 1-10 ◽

Cited By ~ 14

Author(s):

Delaney Granizo-Mackenzie ◽

Jason H. Moore

Keyword(s):

Genetic Analysis ◽

Human Diseases ◽

Multiple Threshold

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Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding

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

10.1007/978-3-642-37189-9_7 ◽

2013 ◽

pp. 68-79 ◽

Cited By ~ 2

Author(s):

David L. González-Álvarez ◽

Miguel A. Vega-Rodríguez

Keyword(s):

Differential Evolution ◽

Artificial Bee Colony ◽

Motif Finding ◽

Bee Colony

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Inferring Human Phenotype Networks from Genome-Wide Genetic Associations

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

10.1007/978-3-642-37189-9_3 ◽

2013 ◽

pp. 23-34 ◽

Cited By ~ 3

Author(s):

Christian Darabos ◽

Kinjal Desai ◽

Richard Cowper-Sal·lari ◽

Mario Giacobini ◽

Britney E. Graham ◽

...

Keyword(s):

Genetic Associations ◽

Human Phenotype ◽

Genome Wide

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Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments

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

10.1007/978-3-642-37189-9_2 ◽

2013 ◽

pp. 11-22 ◽

Cited By ~ 1

Author(s):

Jie Tan ◽

Gavin D. Grant ◽

Michael L. Whitfield ◽

Casey S. Greene

Keyword(s):

Time Course ◽

Coexpression Networks ◽

Time Point

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Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application

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

10.1007/978-3-642-37189-9_17 ◽

2013 ◽

pp. 188-199 ◽

Cited By ~ 5

Author(s):

Susanne Rosenthal ◽

Nail El-Sourani ◽

Markus Borschbach

Keyword(s):

Biochemical Application

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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

Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach

Emergence of Motifs in Model Gene Regulatory Networks

Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction

Mining for Variability in the Coagulation Pathway: A Systems Biology Approach

Hybrid Genetic Algorithms for Stress Recognition in Reading

Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases

Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding

Inferring Human Phenotype Networks from Genome-Wide Genetic Associations

Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments

Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application

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