Predicting the effect of mutations on structure of a protein is a classical problem that has been addressed by the scientists since many years. This book intends to address this problem using machine learning method. The author has covered an extensive study of Single Nucleotide Polymorphisms (SNPs) for their effect on the perturbation of protein stability in human proteome. This book targets the students and researches who are interested in exploring the world of mutations with respect to human proteome.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Predicting the effect of mutations on structure of a protein is a classical problem that has been addressed by the scientists since many years. This book intends to address this problem using machine learning method. The author has covered an extensive study of Single Nucleotide Polymorphisms (SNPs) for their effect on the perturbation of protein stability in human proteome. This book targets the students and researches who are interested in exploring the world of mutations with respect to human proteome.
Dr. S. Tiwari is a visiting scientist at Univ. of Vet. Med., Vienna (Austria). She earned her PhD from Dept. of Comp. Sci., Univ. of Bologna (Italy) under the guidance of Prof. Rita Casadio in 2011, during which she was recipient of MIUR scholarship from Govt. of Italy and Brains-in scholarship from Inst. of Advanced Studies, Univ. of Bologna.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Predicting the effect of mutations on structure of a protein is a classical problem that has been addressed by the scientists since many years. This book intends to address this problem using machine learning method. The author has covered an extensive study of Single Nucleotide Polymorphisms (SNPs) for their effect on the perturbation of protein stability in human proteome. This book targets the students and researches who are interested in exploring the world of mutations with respect to human proteome. 116 pp. Englisch. N° de réf. du vendeur 9783659221484
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Predicting the effect of mutations on structure of a protein is a classical problem that has been addressed by the scientists since many years. This book intends to address this problem using machine learning method. The author has covered an extensive study of Single Nucleotide Polymorphisms (SNPs) for their effect on the perturbation of protein stability in human proteome. This book targets the students and researches who are interested in exploring the world of mutations with respect to human proteome.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. N° de réf. du vendeur 9783659221484
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Predicting the effect of mutations on structure of a protein is a classical problem that has been addressed by the scientists since many years. This book intends to address this problem using machine learning method. The author has covered an extensive study of Single Nucleotide Polymorphisms (SNPs) for their effect on the perturbation of protein stability in human proteome. This book targets the students and researches who are interested in exploring the world of mutations with respect to human proteome. N° de réf. du vendeur 9783659221484
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Healthy or Diseased? | Characterizing the behavior of single point mutations in human proteome via bioinformatics approach | Shalinee Tiwari | Taschenbuch | 116 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659221484 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106203094
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