Computational analysis of single-cell data and cell-type heterogeneity: the next frontier

Computational analysis of single-cell data and cell-type heterogeneity: 
the next frontier

8-9th June, 2018 Shanghai, China



Speakers

Andre Levchenko

Yale University, USA

From information flow to decision making: single cell behavior in tissue morphogenesis
 

Andrew Teschendorff

PICB, SIBS

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Andy Feinberg

Johns Hopkins, USA

Entropy and the Epigenetic Landscape of Cancer

Chengran Xu

Peking-Tsinghua Center for Life Sciences, Peking University

understanding the pancreatic lineage differentiation at the single-cell level

Dominiq Gruen

Max-Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany

Deciphering cell fate bias in multipotent stem cells by single-cell RNA-seq/Not so sure

Fuchou Tang 

Peking University

Deciphering the gene regulation network in human early embryos at single-cell & single base resolution

Guo-Cheng Yuan

Harvard, USA

Decomposing spatially dependent and cell type specific contributions to cellular heterogeneity

Jackie Han

PICB, SIBS

-

Jianbin Wang

A*STAR, Singapore

The comparison of high-throughput single-cell RNA-seq methods

Jinmiao Chen

University of Saarland, Germany

-

Joern Walter

Yale University, USA

Combined computational and experimental approaches to understand tissue composition

Joseph X Zhou

Institute for Systems Biology, Seattle, USA

Understanding cancer drug resistance from cell subpopulation dynamics revealed by temporal single-cell data

Larry Stanton

GIS, Singapore

Using single-cell gene expression profiling to identify and track subpopulations of developing human neurons

Luonan Chen

CAS-Key Lab Systems Biology, SIBS

-

Naihe Jing

Shanghai Institute of Biochemistry and Cell Biology, SIBS

Developmental and spatial transcriptome reveals lineage segregation of post-implantation mouse embryo

Nicholas McGranahan

UCL,UK

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Patrick Stumpf

Southampton University, UK

Decide later

Peter Kharchenko

Harvard Medical School, USA

Assessing transcriptional dynamics in single cells

Wing Hung Wong

Stanford University, USA

-

Woong-Yang Park

Samsung Genome Institute, Korea

Clinical utility of single cell genome analysis

Yanyi Huang

Peking University

-

Yvan Saeys

VIB, Belgium

-

Zemin Zhang

Peking University

-

Computational analysis of single-cell data and cell-type heterogeneity: 
the next frontier

Email: forum@sibs.ac.cn
Tel: 86-21-54920483
Add: Lecture Hall, SIBS Main Building, 320 Yueyang Rd, Shanghai, 200031, P.R. China

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