Predicting the lineage choice of hematopoietic stem cells [electronic resource] : a novel approach using deep neural networks / Manuel Kroiss.
Kroiss, Manuel, author.
2016
QH588.S83
Available Online

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Title Predicting the lineage choice of hematopoietic stem cells [electronic resource] : a novel approach using deep neural networks / Manuel Kroiss.
Author Kroiss, Manuel, author.
ISBN 9783658128791 (electronic book)
3658128798 (electronic book)
9783658128784
Published Wiesbaden : Springer Spektrum, 2016.
Language English
Description 1 online resource (xv, 68 pages).
Call Number QH588.S83
Dewey Decimal Classification 616.02/774
Summary Annotation 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.
Note Annotation 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 18, 2016).
Series BestMasters.
Available in Other Form Predicting the Lineage Choice of Hematopoietic Stem Cells : A Novel Approach Using Deep Neural Networks.
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Record Appears in Online Resources > Ebooks
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Machine Learning
Deep Learning
Training Neural Networks
Recurrent Neural Networks
Stem Cell Classification Using Microscopy Images.

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