activity
20052016
most citedParameter estimation for Boolean models of biological networks

40 citations · 51 across the 5 of their papers we have counts for

collaborators

6 papers

cs.DS2016

The minimal hitting set generation problem: algorithms and computation

Andrew Gainer-Dewar, Paola Vera-Licona

Finding inclusion-minimal "hitting sets" for a given collection of sets is a fundamental combinatorial problem with applications in domains as diverse as Boolean algebra, computati…

stat.ML2012★ 3 cited

TIGRESS: Trustful Inference of Gene REgulation using Stability Selection

Anne-Claire Haury, Fantine Mordelet, Paola Vera-Licona +1

Inferring the structure of gene regulatory networks (GRN) from gene expression data has many applications, from the elucidation of complex biological processes to the identificatio…

q-bio.MN2011

Reverse Engineering of Molecular Networks from a Common Combinatorial Approach

Bhaskar DasGupta, Paola Vera-Licona, Eduardo Sontag

The understanding of molecular cell biology requires insight into the structure and dynamics of networks that are made up of thousands of interacting molecules of DNA, RNA, protein…

q-bio.MN2009★ 40 cited

Parameter estimation for Boolean models of biological networks

Elena Dimitrova, Luis David Garcia-Puente, Franziska Hinkelmann +5

Boolean networks have long been used as models of molecular networks and play an increasingly important role in systems biology. This paper describes a software package, Polynome,…

q-bio.PE2008

Inference of ecological interaction networks

Paola Vera-Licona, Reinhard Laubenbacher

The inference of the interactions between organisms in an ecosystem from observational data is an important problem in ecology. This paper presents a mathematical inference method,…

q-bio.OT2005★ 8 cited

Discretization of Time Series Data

Elena S. Dimitrova, John J. McGee, Reinhard C. Laubenbacher

Data discretization, also known as binning, is a frequently used technique in computer science, statistics, and their applications to biological data analysis. We present a new met…