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Invited Paper Session

Advances in Clustering Multiomics, Mixed-Type, and Count Data

Sun, Aug 2, 4:00 PM - 5:50 PM Room CC-204A Thomas M. Menino Convention & Exhibition Center

Ioanna PapatsoumaOrganizerIoanna PapatsoumaChair

Royal Statistical Society co: No Additional Sponsorco: No Additional Sponsor Applied

6 Presentations

Bayesian non-parametric clustering with feature selection for the analysis of OMICS datasets.

4:35 PM - 4:50 PM

Marina Evangelou (Imperial College London)

clustering variational inference Bayesian non-parametric biomarker discovery OMICS data Dirichlet process

Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data

5:05 PM - 5:20 PM

Arhit Chakrabarti (Texas A&M University)

Co-authors: Yang Ni (Texas A&M University), Debdeep Pati (University of Wisconsin-Madison), Bani Mallick (Texas A&M University)

Bayesian nonparametrics Clustering Global-local Pan-cancer data Cancer-specific variables

Latent Manifold Modelling for Fine-Resolution Clustering of Single-Cell Count Data

5:20 PM - 5:35 PM

Shanshan Ren (University College London)

Multi-omics signatures of extreme old age and longevity

4:05 PM - 4:20 PM

Paola Sebastiani (Tufts Medical Center)

aging clocks extreme longevity

Scalable Joint Factorisation for Pattern Discovery and Clustering in Spatially Structured Biological Count Data

4:50 PM - 5:05 PM

Sokratia Georgaka (University of Manchester)

Joint factorisation Spatial omics data Scalable factorisation Clustering Morphological image features

Variable Weighting for Mixed-Type Data Clustering

4:20 PM - 4:35 PM

Marianthi Markatou (SUNY, Buffalo)

Co-authors: Alexander Foss (Sandia National Laboratories)

k-means variable weighting mixture model unsupervised learning weighting methods mixed-type data

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