Nikolas Pontikos

London, United Kingdom United Kingdom

Postdoc

Medical / Health Care / Pharmaceuticals

I work on methods of visualising and analysing biological data, in particular computationally efficient unsupervised and supervised techniques for identifying clusters. Clusters may represent populations of cells such as in flow cytometry data, or different genotypes such as in SNP array or quantitative PCR data. However as the level of uncertainty, data quality (e.g signal-to-noise ratio) and prior knowledge (e.g expected number of clusters), differs greatly between experimental data sets, clustering needs to adopt a more probabilistic approach. One of the important aspects of my work is to allow for this uncertainty in assigning elements to clusters by giving probabilistic weights of c...