Publicado por Iskusstvo Publishers, 1974
Librería: COLLINS BOOKS, Seattle, WA, Estados Unidos de America
Miembro de asociación: CBA
EUR 20,71
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Very Good-. Estado de la sobrecubierta: Good+. Hardcover edition. 74pp small folio hardcover with mylar sleeved dj, bumping to bottom corner, light shelf wear, clipped flaps, page toning binding strong, text and illustrations clean and crisp throughout, Russian and English language.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202198761 ISBN 13: 9786202198769
Librería: Revaluation Books, Exeter, Reino Unido
EUR 31,95
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202198761 ISBN 13: 9786202198769
Librería: preigu, Osnabrück, Alemania
EUR 16,80
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Analytical methods for assessing the risk of hereditary diseases | Valery Kochetkov | Taschenbuch | 64 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202198769 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202198761 ISBN 13: 9786202198769
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 17,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The publication suggests some new approaches to assessing the risk of hereditary diseases based on analysis of genotypes of candidate genes. The proposed methods are not based on the principles of data mining or machine learning, instead, certain statistical tools are used, including a posteriori distributions and hypothesis testing. The mutual influence of genes in assessing the risk of disease is fully taken into account. The results of calculations based on simulated and real data confirm the effectiveness of the proposed approaches. 64 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202198761 ISBN 13: 9786202198769
Librería: moluna, Greven, Alemania
EUR 17,83
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kochetkov ValeryGraduated from St. Petersburg University. PhD in physics and mathematics. He worked at Ioffe Physical-Technical Institute of the Russian Academy of Sciences and the St. Petersburg University of Transport. Author of pu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202198761 ISBN 13: 9786202198769
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 17,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The publication suggests some new approaches to assessing the risk of hereditary diseases based on analysis of genotypes of candidate genes. The proposed methods are not based on the principles of data mining or machine learning, instead, certain statistical tools are used, including a posteriori distributions and hypothesis testing. The mutual influence of genes in assessing the risk of disease is fully taken into account. The results of calculations based on simulated and real data confirm the effectiveness of the proposed approaches.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202198761 ISBN 13: 9786202198769
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 20,56
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The publication suggests some new approaches to assessing the risk of hereditary diseases based on analysis of genotypes of candidate genes. The proposed methods are not based on the principles of data mining or machine learning, instead, certain statistical tools are used, including a posteriori distributions and hypothesis testing. The mutual influence of genes in assessing the risk of disease is fully taken into account. The results of calculations based on simulated and real data confirm the effectiveness of the proposed approaches.