Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319091914, 9783319091921

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Logol: Expressive Pattern Matching in Sequences. Application to Ribosomal Frameshift Modeling

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09192-1_4 ◽

2014 ◽

pp. 34-47

Author(s):

Catherine Belleannée ◽

Olivier Sallou ◽

Jacques Nicolas

Keyword(s):

Pattern Matching ◽

Ribosomal Frameshift

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Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09192-1_5 ◽

2014 ◽

pp. 48-59 ◽

Cited By ~ 3

Author(s):

Ons Maâtouk ◽

Wassim Ayadi ◽

Hend Bouziri ◽

Beatrice Duval

Keyword(s):

Gene Expression ◽

Evolutionary Algorithm ◽

Gene Expression Data ◽

Expression Data

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Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09192-1_1 ◽

2014 ◽

pp. 1-9 ◽

Cited By ~ 3

Author(s):

Chun-Wei Tung

Keyword(s):

Decision Rules ◽

Chemical Interactions

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Biases of Drug–Target Interaction Network Data

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09192-1_3 ◽

2014 ◽

pp. 23-33 ◽

Cited By ~ 3

Author(s):

Twan van Laarhoven ◽

Elena Marchiori

Keyword(s):

Drug Target ◽

Interaction Network ◽

Network Data ◽

Target Interaction

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Supervised Selective Kernel Fusion for Membrane Protein Prediction

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09192-1_9 ◽

2014 ◽

pp. 98-109 ◽

Cited By ~ 2

Author(s):

Alexander Tatarchuk ◽

Valentina Sulimova ◽

Ivan Torshin ◽

Vadim Mottl ◽

David Windridge

Keyword(s):

Membrane Protein ◽

Protein Prediction ◽

Kernel Fusion

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SFFS-SW: A Feature Selection Algorithm Exploring the Small-World Properties of GNs

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09192-1_6 ◽

2014 ◽

pp. 60-71 ◽

Cited By ~ 2

Author(s):

Fábio Fernandes da Rocha Vicente ◽

Fabrício Martins Lopes

Keyword(s):

Feature Selection ◽

Small World ◽

Selection Algorithm ◽

Feature Selection Algorithm

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Using Topology Information for Protein-Protein Interaction Prediction

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09192-1_2 ◽

2014 ◽

pp. 10-22 ◽

Cited By ~ 3

Author(s):

Adriana Birlutiu ◽

Tom Heskes

Keyword(s):

Protein Interaction ◽

Interaction Prediction ◽

Protein Protein Interaction ◽

Protein Interaction Prediction ◽

Topology Information

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CytomicsDB: A Metadata-Based Storage and Retrieval Approach for High-Throughput Screening Experiments

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09192-1_7 ◽

2014 ◽

pp. 72-84 ◽

Cited By ~ 1

Author(s):

E. Larios ◽

Y. Zhang ◽

L. Cao ◽

F. J. Verbeek

Keyword(s):

High Throughput ◽

High Throughput Screening ◽

Storage And Retrieval ◽

Screening Experiments

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CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09192-1_8 ◽

2014 ◽

pp. 85-97

Author(s):

Seyed Ziaeddin Alborzi ◽

D. A. K. Maduranga ◽

Rui Fan ◽

Jagath C. Rajapakse ◽

Jie Zheng

Keyword(s):

Random Forest ◽

Gene Regulatory Networks ◽

Regulatory Networks ◽

Expression Data ◽

Large Gene ◽

Parallel Speedup ◽

Gene Regulatory

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Pattern Recognition in Bioinformatics - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Logol: Expressive Pattern Matching in Sequences. Application to Ribosomal Frameshift Modeling

Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data

Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions

Biases of Drug–Target Interaction Network Data

Supervised Selective Kernel Fusion for Membrane Protein Prediction

SFFS-SW: A Feature Selection Algorithm Exploring the Small-World Properties of GNs

Using Topology Information for Protein-Protein Interaction Prediction

CytomicsDB: A Metadata-Based Storage and Retrieval Approach for High-Throughput Screening Experiments

CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science
Latest Publications