Predicting the Lineage Choice of Hematopoietic Stem Cells A Novel Approach Using Deep Neural Networks /

• Κύριος συγγραφέας: Kroiss, Manuel (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2016.
• Σειρά: BestMasters
• Θέματα: Chemistry.; Organic chemistry.; Chemical engineering.; Catalysis.; Organic Chemistry.; Industrial Chemistry/Chemical Engineering.

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...

Πίνακας περιεχομένων:

• Machine Learning – Deep Learning
• Training Neural Networks
• Recurrent Neural Networks
• Stem Cell Classification Using Microscopy Images.