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Found 5 papers, 0 papers with code
A Generative Shape Compositional Framework to Synthesise Populations of Virtual Chimaeras
Specifically, we propose a generative shape compositional framework which comprises two components - a part-aware generative shape model which captures the variability in shape observed for each structure of interest in the training population; and a spatial composition network which assembles/composes the structures synthesised by the former into multi-part shape assemblies (viz.
Precision-Recall Balanced Topic Modelling
Topic models are becoming increasingly relevant probabilistic models for dimensionality reduction of text data, inferring topics that capture meaningful themes of frequently co-occurring terms.
Visualizations Relevant to The User By Multi-View Latent Variable Factorization
The factorization is a generative model in which the display is parameterized as a part of the factorization and the other factors explain away the aspects not expressible in a two-dimensional display.
Group Factor Analysis
Factor analysis provides linear factors that describe relationships between individual variables of a data set.
Identification of structural features in chemicals associated with cancer drug response: A systematic data-driven analysis
Results: In this paper, we present the first comprehensive multi-set analysis on how the chemical structure of drugs impacts on ge-nome-wide gene expression across several cancer cell lines (CMap database).
