output
19962026
most citedGATE : a simulation toolkit for PET and SPECT

2.2k citations

Showing q-bio.MNShow all

14 papers · 1 filter

q-bio.MN2020★ 1 cited

Identification of deregulated transcription factors involved in subtypes of cancers

Magali Champion, Julien Chiquet, Pierre Neuvial +3

We propose a methodology for the identification of transcription factors involved in the deregulation of genes in tumoral cells. This strategy is based on the inference of a refere…

q-bio.MN2017★ 3 cited

Large scale evaluation of differences between network-based and pairwise sequence-alignment-based methods of dendrogram reconstruction

Daniel Gamermann, Arnau Montagud, J. Alberto Conejero +2

Dendrograms are a way to represent evolutionary relationships between organisms. Nowadays, these are inferred based on the comparison of genes or protein sequences by taking into a…

q-bio.MN2016★ 3 cited

A model for the integration of conflicting exogenous and endogenous signals by dendritic cells

Quentin Marcou, Irit Carmi-Levy, Coline Trichot +3

Cells of the immune system are confronted with opposing pro- and anti-inflammatory signals. Dendritic cells (DC) integrate these cues to make informed decisions whether to initiate…

q-bio.MN2016★ 64 cited

Precision of readout at the hunchback gene: analyzing short transcription time traces in living fly embryos

Jonathan Desponds, Huy Tran, Teresa Ferraro +7

The simultaneous expression of the hunchback gene in the numerous nuclei of the developing fly embryo gives us a unique opportunity to study how transcription is regulated in livin…

q-bio.MN2015★ 1 cited

Predicting genetic interactions from Boolean models of biological networks

Laurence Calzone, Emmanuel Barillot, Andrei Zinovyev

Genetic interaction can be defined as a deviation of the phenotypic quantitative effect of a double gene mutation from the effect predicted from single mutations using a simple (e.…

q-bio.MN2013★ 21 cited

Model composition through model reduction: a combined model of CD95 and NF-κB signaling pathways

Elena Kutumova, Andrei Zinovyev, Ruslan Sharipov +1

We propose a new approach to model composition, based on reducing several models to the same level of complexity and subsequent combining them together. Firstly, we suggest a set o…