MAY 10, 2017 1:30 PM PDT

Mapping Cell States from Single-Cell Gene Expression Data

C.E. Credits: CEU
Speaker
  • Associate Professor, Dept. of Biostatistics & Computational Biology, Dana-Farber Cancer Institute & Harvard T.H. Chan School of Public Health
    BIOGRAPHY

Abstract

Characterizing cellular hierarchy has profound implications in development and diseases. Single-cell technologies have great potential in discovering new cell types and lineage relationships, but there remain technical and conceptual challenges. In this talk, I will discuss our effort to overcome these challenges. In particular, I will present several computational methods we have recently developed. I will also discuss the perspective of using attractors and bifurcations to understand the dynamics of cell-fate transitions.


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MAY 10, 2017 1:30 PM PDT

Mapping Cell States from Single-Cell Gene Expression Data

C.E. Credits: CEU

Specialty

Antibodies

Virology

Immunology

Personalized Medicine

Dna Sequencing

Immunity

Clinical Diagnostics

Cancer Diagnostics

Immunotherapy

Bioinformatics

Flow Cytometry

Immuno-Oncology

Gene Expression

Big Data

Dna

Geography

Europe100%

Registration Source

Website Visitors100%

Job Title

Student100%

Organization

Academic Institution100%


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