Self-Organizing Feature Maps Identify Proteins Critical to Learning in a Mouse Model of Down Syndrome

Clara Higuera; Katheleen J. Gardiner; Krzysztof J. Cios

doi:10.1371/journal.pone.0129126

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Open Access

Peer-reviewed

Research Article

Self-Organizing Feature Maps Identify Proteins Critical to Learning in a Mouse Model of Down Syndrome

Clara Higuera,

Affiliations Departamento de Bioquímica y Biología Molecular I, Facultad de Ciencias Químicas, Universidad Complutense, Madrid, Spain, Departamento de Inteligencia Artificial e Ingeniería del Software, Facultad de Informática, Universidad Complutense, Madrid, Spain
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Katheleen J. Gardiner,

Affiliation Linda Crnic Institute for Down Syndrome, Department of Pediatrics, Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Genomics, and Neuroscience Programs, University of Colorado, School of Medicine, Aurora, Colorado, United States of America
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Krzysztof J. Cios

* E-mail: kcios@vcu.edu

Affiliations Department of Computer Science, Virginia Commonwealth University, Richmond, Virginia, United States of America, IITiS, Polish Academy of Sciences, Gliwice, Poland
⨯

Self-Organizing Feature Maps Identify Proteins Critical to Learning in a Mouse Model of Down Syndrome

Clara Higuera,
Katheleen J. Gardiner,
Krzysztof J. Cios

Published: June 25, 2015
https://doi.org/10.1371/journal.pone.0129126

About the Authors

Clara Higuera

Affiliations Departamento de Bioquímica y Biología Molecular I, Facultad de Ciencias Químicas, Universidad Complutense, Madrid, Spain, Departamento de Inteligencia Artificial e Ingeniería del Software, Facultad de Informática, Universidad Complutense, Madrid, Spain

Katheleen J. Gardiner

Affiliation Linda Crnic Institute for Down Syndrome, Department of Pediatrics, Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Genomics, and Neuroscience Programs, University of Colorado, School of Medicine, Aurora, Colorado, United States of America

Krzysztof J. Cios

* E-mail: kcios@vcu.edu

Affiliations Department of Computer Science, Virginia Commonwealth University, Richmond, Virginia, United States of America, IITiS, Polish Academy of Sciences, Gliwice, Poland

Competing Interests

The authors declare that no competing interests exist.

Author Contributions

Conceived and designed the experiments: CH KG KC. Performed the experiments: KG CH. Analyzed the data: CH KG KC. Contributed reagents/materials/analysis tools: KG CH. Wrote the paper: CH KG KC.

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Mouse models
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Trisomics
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Protein expression
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Receptor antagonist therapy
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Learning
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Drug therapy
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Down syndrome
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MAPK signaling cascades
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