Predicting Real World Behaviors from Virtual World Data, Muhammad Aurangzeb Ahmad; Cuihua Shen; Jaideep Sri

Автор: Thorsten Will
Название: Predicting Transcription Factor Complexes
ISBN: 3658082682 ISBN-13(EAN): 9783658082680
Издательство: Springer
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Цена: 13974.00 р.
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Описание: In his master thesis Thorsten Will proposes the substantial information content of protein complexes involving transcription factors in the context of gene regulatory networks, designs the first computational approaches to predict such complexes as well as their regulatory function and verifies the practicability using data of the well-studied yeast S.cereviseae. The novel insights offer extensive capabilities towards a better understanding of the combinatorial control driving transcriptional regulation.

Автор: Peter Schmidt; Ann D. Witte
Название: Predicting Recidivism Using Survival Models
ISBN: 1461283434 ISBN-13(EAN): 9781461283430
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Our interest in the statistical modeling of data on the timing of recidivism began in the mid 1970s when we were both junior members of the eco- nomics department at the University of North Carolina.