Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642248542, 9783642248559

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Wrapper- and Ensemble-Based Feature Subset Selection Methods for Biomarker Discovery in Targeted Metabolomics

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24855-9_11 ◽

2011 ◽

pp. 121-132 ◽

Cited By ~ 1

Author(s):

Holger Franken ◽

Rainer Lehmann ◽

Hans-Ulrich Häring ◽

Andreas Fritsche ◽

Norbert Stefan ◽

...

Keyword(s):

Biomarker Discovery ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Selection Methods ◽

Targeted Metabolomics

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Multi-task Drug Bioactivity Classification with Graph Labeling Ensembles

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24855-9_14 ◽

2011 ◽

pp. 157-167

Author(s):

Hongyu Su ◽

Juho Rousu

Keyword(s):

Graph Labeling

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A New Framework for Co-clustering of Gene Expression Data

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24855-9_1 ◽

2011 ◽

pp. 1-12 ◽

Cited By ~ 3

Author(s):

Shuzhong Zhang ◽

Kun Wang ◽

Bilian Chen ◽

Xiuzhen Huang

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

New Framework

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New Gene Subset Selection Approaches Based on Linear Separating Genes and Gene-Pairs

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24855-9_5 ◽

2011 ◽

pp. 50-62

Author(s):

Amirali Jafarian ◽

Alioune Ngom ◽

Luis Rueda

Keyword(s):

Subset Selection ◽

Gene Subset ◽

Gene Pairs ◽

New Gene

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Highlighting Metabolic Strategies Using Network Analysis over Strain Optimization Results

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24855-9_10 ◽

2011 ◽

pp. 109-120

Author(s):

José Pedro Pinto ◽

Isabel Rocha ◽

Miguel Rocha

Keyword(s):

Network Analysis ◽

Strain Optimization ◽

Metabolic Strategies

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Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24855-9_23 ◽

2011 ◽

pp. 260-271 ◽

Cited By ~ 3

Author(s):

Yann Guermeur ◽

Fabienne Thomarat

Keyword(s):

Secondary Structure ◽

Structure Prediction ◽

Secondary Structure Prediction ◽

Protein Secondary Structure ◽

Posterior Probabilities ◽

Protein Secondary Structure Prediction

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CRiSPy-CUDA: Computing Species Richness in 16S rRNA Pyrosequencing Datasets with CUDA

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24855-9_4 ◽

2011 ◽

pp. 37-49 ◽

Cited By ~ 4

Author(s):

Zejun Zheng ◽

Thuy-Diem Nguyen ◽

Bertil Schmidt

Keyword(s):

Species Richness ◽

16S Rrna ◽

16S Rrna Pyrosequencing

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Identification of Biomarkers for Prostate Cancer Prognosis Using a Novel Two-Step Cluster Analysis

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24855-9_6 ◽

2011 ◽

pp. 63-74 ◽

Cited By ~ 1

Author(s):

Xin Chen ◽

Shizhong Xu ◽

Yipeng Wang ◽

Michael McClelland ◽

Zhenyu Jia ◽

...

Keyword(s):

Prostate Cancer ◽

Cluster Analysis ◽

Cancer Prognosis ◽

Prostate Cancer Prognosis

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A Two-Way Bayesian Mixture Model for Clustering in Metagenomics

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24855-9_3 ◽

2011 ◽

pp. 25-36 ◽

Cited By ~ 1

Author(s):

Shruthi Prabhakara ◽

Raj Acharya

Keyword(s):

Mixture Model ◽

Bayesian Mixture Model ◽

Bayesian Mixture

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Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods

Pattern Recognition in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24855-9_16 ◽

2011 ◽

pp. 179-190 ◽

Cited By ~ 7

Author(s):

Olivier Stern ◽

Raphaël Marée ◽

Jessica Aceto ◽

Nathalie Jeanray ◽

Marc Muller ◽

...

Keyword(s):

Interest Points ◽

Automatic Localization

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Pattern Recognition in Bioinformatics - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Wrapper- and Ensemble-Based Feature Subset Selection Methods for Biomarker Discovery in Targeted Metabolomics

Multi-task Drug Bioactivity Classification with Graph Labeling Ensembles

A New Framework for Co-clustering of Gene Expression Data

New Gene Subset Selection Approaches Based on Linear Separating Genes and Gene-Pairs

Highlighting Metabolic Strategies Using Network Analysis over Strain Optimization Results

Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction

CRiSPy-CUDA: Computing Species Richness in 16S rRNA Pyrosequencing Datasets with CUDA

Identification of Biomarkers for Prostate Cancer Prognosis Using a Novel Two-Step Cluster Analysis

A Two-Way Bayesian Mixture Model for Clustering in Metagenomics

Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods

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