MAY 13, 2015 10:30 AM PDT

Statistical methods for bulk and single-cell RNA-seq experiments

Speaker

Abstract

I will discuss recent statistical methods for identifying differentially expressed genes in static and time course bulk RNA-seq experiments. I will also provide an overview of the opportunities and challenges provided by single cell RNA-seq and will discuss a statistical method we have developed for characterizing gene expression dynamics and sample heterogeneity in single cell RNA-seq experiments. Learning objectives: 1. Participants will learn the basics of RNA-seq analysis with a focus on normalization and identification of differentially expressed genes.


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MAY 13, 2015 10:30 AM PDT

Statistical methods for bulk and single-cell RNA-seq experiments


Specialty

Antibodies

Virology

Immunology

Research

Dna Sequencing

Personalized Medicine

Clinical Diagnostics

Immunity

Cancer Diagnostics

Immunotherapy

Bioinformatics

Flow Cytometry

Immuno-Oncology

Health

Gene Expression

Geography

Asia50%

Europe50%

Registration Source

Website Visitors100%

Job Title

Student50%

Medical Laboratory Technician50%

Organization

Academic Institution50%

Manufacturer - Other50%


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