Mutational signature analysis is commonly performed in cancer genomic studies. Here, we
present SigProfilerExtractor, an automated tool for de novo extraction of mutational …

Spectral decomposition by nonnegative matrix factorisation (NMF) has become state-of-the-
art practice in many audio signal processing tasks, such as source separation, enhancement …

Spatial transcriptomics (ST) measures mRNA expression across thousands of spots from a
tissue slice while recording the two-dimensional (2D) coordinates of each spot. We …

This letter describes algorithms for nonnegative matrix factorization (NMF) with the β-
divergence (β-NMF). The β-divergence is a family of cost functions parameterized by a …

In this paper, we extend and overview wide families of Alpha-, Beta-and Gamma-
divergences and discuss their fundamental properties. In literature usually only one single …

The accumulation of somatic mutations in a genome is the result of the activity of one or
more mutagenic processes, each of which leaves its own imprint. The study of these DNA …

This paper addresses the estimation of the latent dimensionality in nonnegative matrix
factorization (NMF) with the (β)--divergence. The (β)-divergence is a family of cost functions …

Nonnegative matrix factorization (NMF) is a standard linear dimensionality reduction
technique for nonnegative data sets. In order to measure the discrepancy between the input …

Motivation Mutational signatures can be used to understand cancer origins and provide a
unique opportunity to group tumor types that share the same origins and result from similar …

Recent research in machine learning has focused on breaking audio spectrograms into
separate sources of sound using latent variable decompositions. These methods require …