activity
20062020
most citedMcGenus: A Monte Carlo algorithm to predict RNA secondary structures with pseudoknots

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

collaborators

5 papers

cs.LG2020

Estimating Individual Treatment Effects through Causal Populations Identification

Céline Beji, Michaël Bon, Florian Yger +1

Estimating the Individual Treatment Effect from observational data, defined as the difference between outcomes with and without treatment or intervention, while observing just one…

cs.DL2017★ 4 cited

Novel processes and metrics for a scientific evaluation rooted in the principles of science - Version 1

Michaël Bon, Michael Taylor, Gary S. McDowell

Scientific evaluation is a determinant of how scientists, institutions and funders behave, and as such is a key element in the making of science. In this article, we propose an alt…

q-bio.BM2012★ 34 cited

McGenus: A Monte Carlo algorithm to predict RNA secondary structures with pseudoknots

M. Bon, C. Micheletti, H. Orland

We present McGenus, an algorithm to predict RNA secondary structures with pseudoknots. The method is based on a classification of RNA structures according to their topological genu…

q-bio.BM2010★ 1 cited

TT2NE: A novel algorithm to predict RNA secondary structures with pseudoknots

Michael Bon, Henri Orland

We present TT2NE, a new algorithm to predict RNA secondary structures with pseudoknots. The method is based on a classification of RNA structures according to their topological gen…

q-bio.BM2006★ 1 cited

Topological classification of RNA structures

Michael Bon, Graziano Vernizzi, Henri Orland +1

We present a novel topological classification of RNA secondary structures with pseudoknots. It is based on the topological genus of the circular diagram associated to the RNA base-…