Predicting the Lineage Choice of Hematopoietic Stem Cells

Language: English

Published by Springer Vieweg Mai 2016, 2016

365812878X / 9783658128784

Series: Book 30 of 91 - BestMasters

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This item is printed on demand - Print on Demand Titel. Neuware -Manuel Kroiss examines the differentiation of hematopoietic stem cells using machine learning methods. This work is based on experiments focusing on the lineage choice of CMPs, the progenitors of HSCs, which either become MEP or GMP cells. The author presents a novel approach to distinguish MEP from GMP cells using machine learning on morphology features extracted from bright field images. He tests the performance of different models and focuses on Recurrent Neural Networks with the latest advances from the field of deep learning. Two different improvements to recurrent networks were tested: Long Short Term Memory (LSTM) cells that are able to remember information over long periods of time, and dropout regularization to prevent overfitting. With his method, Manuel Kroiss considerably outperforms standard machine learning methods without time information like Random Forests and Support Vector Machines.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 84 pp. Englisch.

Seller Inventory # 9783658128784

Title
Predicting the Lineage Choice of Hematopoietic Stem Cells
Author
Manuel Kroiss
Publisher
Springer Vieweg Mai 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
365812878X
ISBN 13
9783658128784
Item weight
122 grams
Dimensions
210x148x6 mm
Series
Book 30 of 91: BestMasters

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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