Title: Spectral Simplicial Theory for Feature Selection and Applications to Genomics
Speaker: Pablo Camara (University of Pennsylvania)
Abstract: We present a general framework for unsupervised feature selection based on the combinatorial Laplacian on simplicial complexes. Our framework generalizes ideas found in spectral network analysis to simplicial complex representations of the data. We illustrate the utility of this framework with some applications in genomics: the study of the gene expression programs that underlie continuous and dynamic cellular processes, the analysis of spatial patterns of transcription, and the identification of relevant genetic alterations in cancer.
Seminar URL: https://tgda.osu.edu/