Machine Learning Coffee seminar: Antti Häkkinen, University of Helsinki

Weekly seminars held jointly by Aalto University and the University of Helsinki.

Helsinki region machine learning researchers will start our week by an exciting machine learning talk. The aim is to gather people from different fields of science with interest in machine learning. Porridge and coffee is served at 9:00 and the talk will begin at 9:15. The venue for this talk is seminar room T5, CS building.

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Latent stochastic models for comparing tumor samples of unknown purity

Antti Häkkinen
Postdoctoral fellow, Genome-Scale Biology Program, Faculty of Medicine, University of Helsinki

Abstract:

A challenge in analyzing data from tumor samples is that the biopsies contain an mixture of various cells, including cancer cells, immune cells and stromal cells. This hinders the discovery of clinically relevant information and can lead to systematically biased results. A few recent analysis techniques control for such factors, but only accommodate specific types of data, or require controls which cannot be obtained from each patient. I will present our developments on statistical methods for controlling for the latent and varying fraction of tumor cells in next-generation methylation and RNA sequencing data, which aim to enable unbiased and more accurate comparison of patient-derived samples.

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See the next talks at the seminar webpage.

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