Statistics and Data Science Seminar
V. Devanarayan
AbbVie
Some important statistical considerations in biomarker discovery from high-dimensional data
Abstract: Biomarkers such as those based on genomic, proteomic and imaging
modalities play a vital role in biopharmaceutical R&D. Examples include
the discovery of novel genes/targets related to various diseases based on
which a suitable therapeutic can be developed, diagnostics for different
disease subtypes, identification of patients that are more likely to
progress in disease or benefit from a particular therapeutic, etc. The
discovery of such biomarkers are typically based on the evaluation of
high-dimensional datasets that require a strong combination of
bioinformatic and statistical considerations. This seminar will provide
a practical overview and intuitive explanation of some important concepts
and considerations around the analyses of such high-dimensional data.
Wednesday October 29, 2014 at 4:00 PM in SEO 636