4 papers
Integrating opportunities and parametrized signatures for improved mutational processes estimation in extended sequence contexts
Ragnhild Laursen, Marta Pelizzola, Lasse Maretty +1
Mutational signatures describe the pattern of mutations over the different mutation types. Each mutation type is determined by a base substitution and the flanking nucleotides to t…
A flexible model-based framework for robust estimation of mutational signatures
Ragnhild Laursen, Lasse Maretty, Asger Hobolth
Somatic mutations in cancer can be viewed as a mixture distribution of several mutational signatures, which can be inferred using non-negative matrix factorization (NMF). Mutationa…
Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization
Marta Pelizzola, Ragnhild Laursen, Asger Hobolth
The spectrum of mutations in a collection of cancer genomes can be described by a mixture of a few mutational signatures. The mutational signatures can be found using non-negative…
A sampling algorithm to compute the set of feasible solutions for non-negative matrix factorization with an arbitrary rank
Ragnhild Laursen, Asger Hobolth
Non-negative Matrix Factorization (NMF) is a useful method to extract features from multivariate data, but an important and sometimes neglected concern is that NMF can result in no…