WEBINAR

Deriving Insights from Publicly Available Data: A Case Study on Exploring CCLE Profiles for Validated Oncology Research

Introduction

Utilization of cancer cell line models to explore the genetic characterization and drug sensitivity of tumor biology has greatly aided in the identification and profiling of human cancers. Much work has been performed by the Broad Institute in collaboration with the Novartis Institutes for Biomedical Research and its Genomics Institute of the Novartis Research Foundation, to compile the Cancer Cell Line Encyclopedia (CCLE): a collection that contains gene expression, chromosomal copy number, sequencing data across 947 human cancer cell lines as well as their pharmacologic profiles for 24 anticancer drugs across 479 of the lines.

In this webinar, learn

  • Compare pharmacological data across cancer cell lines and determine gene signatures across a variety of tumor types.
  • Leverage statistical analysis techniques such as Principle Component Analysis and unsupervised machine learning algorithms.
  • Leverage statistical analysis techniques such as Principle Component Analysis and unsupervised machine learning algorithms.