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

Ana CVEJIC

University of Cambridge, UK

Exploring the mechanisms of haematopoietic lineage progression at the single-cell level
 

Andre LEVCHENKO

Yale University, USA

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

Andrew TESCHENDORFF

PICB, SINH, China

Single-cell entropy to dissect cell-type heterogeneity in cancer

Andy FEINBERG

Johns Hopkins University, USA

Entropy and the Epigenetic Landscape of Cancer

Chengran XU

Peking-Tsinghua Center for Life Sciences, Peking University, China

Understanding the pancreatic lineage differentiation at the single-cell level

Fuchou Tang 

Peking University

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

Guo-Cheng YUAN

Harvard University, USA

Decomposing spatially dependent and cell type specific contributions to cellular heterogeneity

Jianbin WANG

Tsinghua University, China

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

Jing-Dong Jackie HAN

PICB, SINH, China

Inference of differentiation time for single cell transcriptomes using cell population reference data

Jinmiao CHEN

A*STAR SIgN, Singapore

Build Asian Single-cell Immune Map of human gastric cancers in Singapore

Jörn WALTER

University of Saarland, Germany

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

Lawrence STANTON

GIS, Singapore

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

Luonan CHEN

Shanghai Institute of Biochemistry and Cell Biology,CAS, China

Single-cell data analysis based on single-sample network (SSN)

Naihe JING

Shanghai Institute of Biochemistry and Cell Biology,CAS, China

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

Nicholas McGRANAHAN

Francis Crick Institute & UCL, UK

Lung cancer evolution and immune escape

Patrick STUMPF

University of Southampton, UK

Investigating stem-cell differentiation dynamics using single-cell profiling

Peter KHARCHENKO

Harvard Medical School, USA

Exploring human brain with single-cell transcriptional and epigenetic measurements

Wing H WONG

Stanford University, USA

The joint analysis of single cell data on gene expression and chromatin accessibility

Woong-Yang PARK

Samsung Genome Institute, Korea

Clinical utility of single cell genome analysis

Yanyi HUANG

Peking University, China

Microfluidics, Single cells, and Sequencing

Yvan SAEYS

VIB, Ghent University, Belgium

Benchmarking single-cell trajectory inference methods: towards more accurate and robust tools

Zemin ZHANG

Peking University, China

Characteristics of Tumor Infiltrating Lymphocytes Revealed by Single Cell RNA Sequencing

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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