logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

A Mathematical Modeling Framework To Simulate And Analyze Cell Type Transitions 1st Edition Daniella Schittler

  • SKU: BELL-51883332
A Mathematical Modeling Framework To Simulate And Analyze Cell Type Transitions 1st Edition Daniella Schittler
$ 31.00 $ 45.00 (-31%)

4.8

74 reviews

A Mathematical Modeling Framework To Simulate And Analyze Cell Type Transitions 1st Edition Daniella Schittler instant download after payment.

Publisher: Logos Verlag Berlin
File Extension: PDF
File size: 36.24 MB
Pages: 192
Author: Daniella Schittler
ISBN: 9783832587437, 3832587438
Language: English
Year: 2015
Edition: 1

Product desciption

A Mathematical Modeling Framework To Simulate And Analyze Cell Type Transitions 1st Edition Daniella Schittler by Daniella Schittler 9783832587437, 3832587438 instant download after payment.

The quantitative understanding of changes in cell types, referred to as cell type transitions, is fundamental to advance fields such as stem cell research, immunology, and cancer therapies.This thesis provides a mathematical modeling framework to simulate and analyze cell type transitions. The novel methodological approaches and models presented here address diverse levels which are essential in this context: Gene regulatory network models represent the cell type-determining gene expression dynamics. Here, a novel construction method for gene regulatory network models is introduced, which allows to transfer results from generic low-dimensional to realistic high-dimensional gene regulatory network models.For populations of cells, a generalized model class is proposed that accounts for multiple cell types, division numbers, and the full label distribution. Analysis and solution methods are presented for this new model class, which cover common cell population experiments and allow to exploit the full information from data.The modeling and analysis methods presented here connect formerly isolated approaches, and thereby contribute to a holistic framework for the quantitative understanding of cell type transitions.

Related Products