2018 Taipei, Taiwan

SS30:  Mathematical Modeling and Computation in Systems and Quantitative Biology
Organizer(s):
Name:
Affiliation:
Country:
Peking University
Peoples Rep of China
Ohio State University
USA
University of California, Irvine
USA
Abstract:
One of the central problems in biology is to understand the principles of complex biological systems. According to the level of biological details include, mathematical and computational models of biological processes involve different levels of mathematical complexity. In this special session, we focus on recent findings of mathematical modeling and computation in systems and quantitative biology. We will discuss the insights gained on the complexity of cellular behaviors and functions, and also the comparison with the experimental observations. 
List of approved abstract
Name
Affiliation
Title
Weitao Chen
University of California, Riverside
Coupled Mechanochemical Multiscale Model to Study the Growth Regulation and Morphogenesis during Tissue Development
Huijing Du
University of Nebraska-Lincoln
Multiscale modeling of layer formation in epidermis
Hao Ge
Peking University
Fluctuating-rate model of single-cell dynamics and its applications
Chunhe Li
Fudan University
A landscape view on the interplay between EMT and cancer metastasis
Kang-Ling Liao
Tamkang University
Mathematical modeling of Interleukin-35 promoting tumor growth and angiogenesis
Wing-Cheong Lo
City University of Hong Kong
A Link between Cell Polarization and Colony Formation in Budding Yeast
Lei Zhang
Peking University
Quantifying the biological functions in gene regulatory networks
Jiajun Zhang
Sun Yat-sen University
Scalable inference of transcription dynamics from single-cell RNA-sequencing data