A multi-agent evolutionary robotics framework to train spiking neural networks [PDF]
Proceedings of the Genetic and Evolutionary Computation
Conference, (2021) 858 -- 865, 2020 A novel multi-agent evolutionary robotics (ER) based framework, inspired by competitive evolutionary environments in nature, is demonstrated for training Spiking Neural Networks (SNN). The weights of a population of SNNs along with morphological parameters of bots they control in the ER environment are treated as phenotypes.
arxiv +1 more source
Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization [PDF]
arXiv, 2022 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 matrix factorization (NMF). To extract the mutational signatures we have to assume a distribution for the observed mutational counts and a number of mutational signatures. In
arxiv
Topography of mutational signatures in human cancer
Cell Reports, 2023 Summary: The somatic mutations found in a cancer genome are imprinted by different mutational processes. Each process exhibits a characteristic mutational signature, which can be affected by the genome architecture.
Burçak Otlu +6 more
doaj
BMC Bioinformatics, 2018 Background Mutational signatures have been proved as a valuable pattern in somatic genomics, mainly regarding cancer, with a potential application as a biomarker in clinical practice.
Marcos Díaz-Gay +5 more
doaj +1 more source
Learning mutational signatures and their multidimensional genomic properties with TensorSignatures
Nature Communications, 2021 Currently available tools for the analysis of mutational signatures do not make use of all possible genomic properties aside from mutation patterns.
Harald Vöhringer +3 more
doaj +1 more source
Mutational signatures of DNA mismatch repair deficiency in C. elegans and human cancers [PDF]
, 2018 Throughout their lifetime, cells are subject to extrinsic and intrinsic mutational processes leaving behind characteristic signatures in the genome.
Campbell, Peter J. +6 more
core +2 more sources
Unravelling the instability of mutational signatures extraction via archetypal analysis [PDF]
, 2023 The high cosine similarity between some single-base substitution mutational signatures and their characteristic flat profiles could suggest the presence of overfitting and mathematical artefacts.
Benevenuta, S. +5 more
core +1 more source
A FAIR platform for reproducing mutational signature detection on tumor sequencing data [PDF]
arXiv, 2023 This paper presents a portable, privacy-preserving, in-browser platform for the reproducible assessment of mutational signature detection methods from sparse sequencing data generated by targeted gene panels. The platform aims to address the reproducibility challenges in mutational signature research by adhering to the FAIR principles, making it ...
arxiv
Portrait of a cancer: mutational signature analyses for cancer diagnostics
BMC Cancer, 2019 Background In the past decade, systematic and comprehensive analyses of cancer genomes have identified cancer driver genes and revealed unprecedented insight into the molecular mechanisms underlying the initiation and progression of cancer. These studies
Arne Van Hoeck +3 more
doaj +1 more source
mSigSDK -- private, at scale, computation of mutation signatures [PDF]
arXiv, 2023 In our previous work, we demonstrated that it is feasible to perform analysis on mutation signature data without the need for downloads or installations and analyze individual patient data at scale without compromising privacy. Building on this foundation, we developed a Software Development Kit (SDK) called mSigSDK to facilitate the orchestration of ...
arxiv