activity
20042026
most citedHidden Markov Models for Gene Sequence Classification: Classifying the VSG genes in the Trypanosoma brucei Genome

13 citations · 38 across the 6 of their papers we have counts for

collaborators

8 papers

q-bio.PE2026

Absorption and fixation times for evolutionary processes on graphs

Fernando Alcalde Cuesta, Gustavo Guerberoff, Álvaro Lozano Rojo

In this paper, we study the absorption and fixation times for evolutionary processes on graphs, under different updating rules. While in Moran process a single neighbour is randoml…

cs.DM2020

Analysis and Reliability of Separable Systems

Héctor Cancela, Gustavo Guerberoff, Franco Robledo +1

The operation of a system, such as a vehicle, communication network or automatic process, heavily depends on the correct operation of its components. A Stochastic Binary System (SB…

eess.SP2018★ 2 cited

Nonparametric optimization of short-term confidence bands for wind power generation

Claudio Risso, Gustavo Guerberoff

The increasing rate of penetration of non-conventional renewable energies is affecting the traditional assumption of controllability over energy sources. Power dispatching scheduli…

q-bio.GN2015★ 13 cited

Hidden Markov Models for Gene Sequence Classification: Classifying the VSG genes in the Trypanosoma brucei Genome

Andrea Mesa, Sebastián Basterrech, Gustavo Guerberoff +1

The article presents an application of Hidden Markov Models (HMMs) for pattern recognition on genome sequences. We apply HMM for identifying genes encoding the Variant Surface Glyc…

q-bio.PE2013

A stochastic microscopic model for the dynamics of antigenic variation

Gustavo Guerberoff, Fernando Alvarez-Valin

We present a novel model that describes the within-host evolutionary dynamics of parasites undergoing antigenic variation. The approach uses a multi-type branching process with two…

gr-qc2010★ 10 cited

Statistical constraints on binary black hole inspiral dynamics

Chad R. Galley, Frank Herrmann, John Silberholz +2

We perform a statistical analysis of the binary black hole problem in the post-Newtonian approximation by systematically sampling and evolving the parameter space of initial config…