Predicting the lineage choice of hematopoietic stem cells [electronic resource] : a novel approach using deep neural networks / Manuel Kroiss.

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Predicting the lineage choice of hematopoietic stem cells [electronic resource] : a novel approach using deep neural networks / Manuel Kroiss.

9783658128791 (electronic book)
3658128798 (electronic book)
9783658128784

Wiesbaden : Springer Spektrum, 2016.

English

1 online resource (xv, 68 pages).

QH588.S83

616.02/774

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.

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.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed May 18, 2016).

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