Last week Jelmar Quist presented at the Markets & Markets 4th Annual Biomarker and Companion Diagnostics Conference. The conference aims to “address the gaps between early-stage biomarker development and the commercialization stage of biomarkers”.
Jelmar spoke on Bioinformatics approaches for classification of breast cancers, covering the following topics:
- Integration of transcriptomics and genomics data can reveal convergent pathway
dependencies with a potential for therapeutic intervention. - Classification of high-dimensional mixed-type data can be achieved through a permutation-
based framework for random forest. - Extensive qualitative and quantitative evaluation of clusters could ultimately aid patient
stratification