Search Results for author:
Found 5 papers, 0 papers with code
Statistical models of complex brain networks: a maximum entropy approach
The brain is a highly complex system.
Temporal epistasis inference from more than 3,500,000 SARS-CoV-2 Genomic Sequences
We use Direct Coupling Analysis (DCA) to determine epistatic interactions between loci of variability of the SARS-CoV-2 virus, segmenting genomes by month of sampling.
Mutation frequency time series reveal complex mixtures of clones in the world-wide SARS-CoV-2 viral population
We compute the allele frequencies of the alpha (B. 1. 1. 7), beta (B. 1. 351) and delta (B. 167. 2) variants of SARS-CoV-2 from almost two million genome sequences on the GISAID repository.
Statistical Genetics in and out of Quasi-Linkage Equilibrium (Extended)
This review is about statistical genetics, an interdisciplinary topic between statistical physics and population biology.
Inferring epistasis from genomic data with comparable mutation and outcrossing rate
We consider a population evolving due to mutation, selection and recombination, where selection includes single-locus terms (additive fitness) and two-loci terms (pairwise epistatic fitness).
