Výsledky vyhledávání - "Gilbert David R"

Akademický článek

Prediction of protein-protein interaction types using association rule based classification

Autor: Gilbert David R, Reyes José A, Park Sung, Kim Ji, Kim Sangsoo

Publikováno v: BMC Bioinformatics, Vol 10, Iss 1, p 36 (2009)

Abstract Background Protein-protein interactions (PPI) can be classified according to their characteristics into, for example obligate or transient interactions. The identification and characterization of these PPI types may help in the functional an

Externí odkaz: https://doaj.org/article/eaa56869279b48d4bab853a22f2ee54f

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Akademický článek

Automatic generation of 3D motifs for classification of protein binding sites

Autor: Herzyk Pawel, Nebel Jean-Christophe, Gilbert David R

Publikováno v: BMC Bioinformatics, Vol 8, Iss 1, p 321 (2007)

Abstract Background Since many of the new protein structures delivered by high-throughput processes do not have any known function, there is a need for structure-based prediction of protein function. Protein 3D structures can be clustered according t

Externí odkaz: https://doaj.org/article/12576630dac6440d940259bb0d2657db

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Akademický článek

Predicting protein function by machine learning on amino acid sequences – a critical evaluation

Autor: Breitling Rainer, Al-Shahib Ali, Gilbert David R

Publikováno v: BMC Genomics, Vol 8, Iss 1, p 78 (2007)

Abstract Background Predicting the function of newly discovered proteins by simply inspecting their amino acid sequence is one of the major challenges of post-genomic computational biology, especially when done without recourse to experimentation or

Externí odkaz: https://doaj.org/article/a6af67b935d14ad2a14bf47c814bbd78

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Akademický článek

GeneRank: Using search engine technology for the analysis of microarray experiments

Autor: Breitling Rainer, Morrison Julie L, Higham Desmond J, Gilbert David R

Publikováno v: BMC Bioinformatics, Vol 6, Iss 1, p 233 (2005)

Abstract Background Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the treatment can be of many types from drug exposure to genetic variation. In

Externí odkaz: https://doaj.org/article/92bed63e10d34278a4a57f1ecfafaa33

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