Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642219450, 9783642219467

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Identification and Expression of Early Nodulin in Sugarcane Transcriptome Revealed by in Silico Analysis

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21946-7_6 ◽

2011 ◽

pp. 72-85 ◽

Cited By ~ 1

Author(s):

Gabriela Souto Vieira-de-Mello ◽

Petra Barros dos Santos ◽

Nina da Mota Soares-Cavalcanti ◽

Ana Maria Benko-Iseppon

Keyword(s):

In Silico ◽

In Silico Analysis ◽

Early Nodulin ◽

Silico Analysis

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IP6K Gene Discovery in Plant mtDNA

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21946-7_5 ◽

2011 ◽

pp. 59-71

Author(s):

Fabio Fassetti ◽

Ofelia Leone ◽

Luigi Palopoli ◽

Simona E. Rombo ◽

Adolfo Saiardi

Keyword(s):

Gene Discovery ◽

Plant Mtdna

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Labeling Negative Examples in Supervised Learning of New Gene Regulatory Connections

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21946-7_13 ◽

2011 ◽

pp. 159-173

Author(s):

Luigi Cerulo ◽

Vincenzo Paduano ◽

Pietro Zoppoli ◽

Michele Ceccarelli

Keyword(s):

Supervised Learning ◽

New Gene ◽

Gene Regulatory

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The Three Steps of Clustering in the Post-Genomic Era: A Synopsis

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21946-7_2 ◽

2011 ◽

pp. 13-30 ◽

Cited By ~ 8

Author(s):

R. Giancarlo ◽

G. Lo Bosco ◽

L. Pinello ◽

F. Utro

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Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21946-7_21 ◽

2011 ◽

pp. 263-274 ◽

Cited By ~ 9

Author(s):

Carmen Alina Lupaşcu ◽

Domenico Tegolo

Keyword(s):

Retinal Vessels ◽

Unsupervised Segmentation ◽

Self Organizing Maps ◽

Self Organizing

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Osmoprotectants in the Sugarcane (Saccharum spp.) Transcriptome Revealed by in Silico Evaluation

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21946-7_4 ◽

2011 ◽

pp. 44-58 ◽

Cited By ~ 1

Author(s):

Petra Barros dos Santos ◽

Nina da Mota Soares-Cavalcanti ◽

Gabriela S. Vieira-de-Melo ◽

Ana Maria Benko-Iseppon

Keyword(s):

In Silico ◽

Saccharum Spp

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De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networks

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21946-7_3 ◽

2011 ◽

pp. 31-43 ◽

Cited By ~ 1

Author(s):

Catherine Mooney ◽

Yong-Hong Wang ◽

Gianluca Pollastri

Keyword(s):

Neural Networks ◽

Subcellular Localization ◽

De Novo ◽

Protein Subcellular Localization ◽

Subcellular Localization Prediction ◽

Protein Subcellular Localization Prediction ◽

Localization Prediction

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A Multi-relational Learning Framework to Support Biomedical Applications

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21946-7_15 ◽

2011 ◽

pp. 188-202

Author(s):

Teresa M. A. Basile ◽

Floriana Esposito ◽

Laura Caponetti

Keyword(s):

Biomedical Applications ◽

Relational Learning ◽

Learning Framework

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Qualitative Reasoning on Systematic Gene Perturbation Experiments

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21946-7_11 ◽

2011 ◽

pp. 135-146 ◽

Cited By ~ 1

Author(s):

Francesco Sambo ◽

Barbara Di Camillo

Keyword(s):

Qualitative Reasoning ◽

Gene Perturbation

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Supervised Classification Methods for Mining Cell Differences as Depicted by Raman Spectroscopy

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21946-7_9 ◽

2011 ◽

pp. 112-122 ◽

Cited By ~ 1

Author(s):

Petros Xanthopoulos ◽

Roberta De Asmundis ◽

Mario Rosario Guarracino ◽

Georgios Pyrgiotakis ◽

Panos M. Pardalos

Keyword(s):

Raman Spectroscopy ◽

Supervised Classification ◽

Classification Methods ◽

Supervised Classification Methods

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Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Identification and Expression of Early Nodulin in Sugarcane Transcriptome Revealed by in Silico Analysis

IP6K Gene Discovery in Plant mtDNA

Labeling Negative Examples in Supervised Learning of New Gene Regulatory Connections

The Three Steps of Clustering in the Post-Genomic Era: A Synopsis

Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering

Osmoprotectants in the Sugarcane (Saccharum spp.) Transcriptome Revealed by in Silico Evaluation

De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networks

A Multi-relational Learning Framework to Support Biomedical Applications

Qualitative Reasoning on Systematic Gene Perturbation Experiments

Supervised Classification Methods for Mining Cell Differences as Depicted by Raman Spectroscopy

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science
Latest Publications