Bayesian Hierarchical Model for Identifying Changes in Gene Expression from Microarray Experiments. - Philippe Broët; Sylvia Richardson; François Radvanyi (J. Comput. Biol., 2002)

Local Pattern Discovery in Array-CGH Data. - Céline Rouveirol; François Radvanyi (Local Pattern Detection, 2004)

Selecting biomedical data sources according to user preferences. - Sarah Cohen Boulakia; Séverine Lair; Nicolas Stransky; Stéphane Graziani; François Radvanyi; Emmanuel Barillot; Christine Froidevaux (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Analysis of array CGH data: from signal ratio to gain and loss of DNA regions. - Philippe Hupé; Nicolas Stransky; Jean-Paul Thiery; François Radvanyi; Emmanuel Barillot (Bioinform., 2004)

Apprentissage de signatures de facteurs de transcription à partir de données d'expression. - Mohamed Elati; Céline Rouveirol; François Radvanyi (EGC, 2005)

Identifying genes from up-down properties of microarray expression series. - Karen Willbrand; François Radvanyi; Jean-Pierre Nadal; Jean-Paul Thiery; Thomas M. A. Fink (Bioinform., 2005)

VAMP: Visualization and analysis of array-CGH, transcriptome and other molecular profiles. - Philippe La Rosa; Eric Viara; Philippe Hupé; Gaëlle Pierron; Stéphane Liva; Pierre Neuvial; Isabel Brito 002; Séverine Lair; Nicolas Servant; Nicolas Robine; Elodie Manié; Caroline Brennetot; et al. (Bioinform., 2006)

Computation of recurrent minimal genomic alterations from array-CGH data. - Céline Rouveirol; Nicolas Stransky; Philippe Hupé; Philippe La Rosa; Eric Viara; Emmanuel Barillot; François Radvanyi (Bioinform., 2006)

Spatial normalization of array-CGH data. - Pierre Neuvial; Philippe Hupé; Isabel Brito 002; Stéphane Liva; Elodie Manié; Caroline Brennetot; François Radvanyi; Alain Aurias; Emmanuel Barillot (BMC Bioinform., 2006)

ITTACA: a new database for integrated tumor transcriptome array and clinical data analysis. - Adil Elfilali; Séverine Lair; Catia Verbeke; Philippe La Rosa; François Radvanyi; Emmanuel Barillot (Nucleic Acids Res., 2006)

LICORN: learning cooperative regulation networks from gene expression data. - Mohamed Elati; Pierre Neuvial; Monique Bolotin-Fukuhara; Emmanuel Barillot; François Radvanyi; Céline Rouveirol (Bioinform., 2007)

Fouille de données pour l'extraction de grands réseaux de régulation génétique. - Mohamed Elati; François Radvanyi; Céline Rouveirol (Tech. Sci. Informatiques, 2007)

Gene List significance at-a-glance with GeneValorization. - Bryan Brancotte; Anne Biton; Isabelle Bernard-Pierrot; François Radvanyi; Fabien Reyal; Sarah Cohen Boulakia (Bioinform., 2011)

Network Transformation of Gene Expression for Feature Extraction. - Rémy Nicolle; Mohamed Elati; François Radvanyi (ICMLA (1), 2012)

HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq data. - Haitham Ashoor; Aurélie Hérault; Aurélie Kamoun; François Radvanyi; Vladimir B. Bajic; Emmanuel Barillot; Valentina Boeva (Bioinform., 2013)

Integrative Modelling of the Influence of MAPK Network on Cancer Cell Fate Decision. - Luca Grieco; Laurence Calzone; Isabelle Bernard-Pierrot; François Radvanyi; Brigitte Kahn-Perlès; Denis Thieffry (PLoS Comput. Biol., 2013)

Pepper: cytoscape app for protein complex expansion using protein-protein interaction networks. - Charles Winterhalter; Rémy Nicolle; A. Louis; Cuong To; François Radvanyi; Mohamed Elati (Bioinform., 2014)

CoRegNet: reconstruction and integrated analysis of co-regulatory networks. - Rémy Nicolle; François Radvanyi; Mohamed Elati (Bioinform., 2015)

SegCorr a statistical procedure for the detection of genomic regions of correlated expression. - Eleni Ioanna Delatola; Emilie Lebarbier; Tristan Mary-Huard; François Radvanyi; Stéphane Robin; Jennifer Wong (BMC Bioinform., 2017)

Assessing reproducibility of matrix factorization methods in independent transcriptomes. - Laura Cantini; Ulykbek Kairov; Aurélien de Reyniès; Emmanuel Barillot; François Radvanyi; Andrei Yu. Zinovyev (Bioinform., 2019)

Identification of deregulation mechanisms specific to cancer subtypes. - Magali Champion; Julien Chiquet; Pierre Neuvial; Mohamed Elati; François Radvanyi; Etienne Birmelé (J. Bioinform. Comput. Biol., 2021)

Prediction of Secondary Structure for Long Non-Coding RNAs using a Recursive Cutting Method based on Deep Learning. - Loïc Omnes; Eric Angel; Pierre Bartet; François Radvanyi; Fariza Tahi (BIBE, 2023)

Comparison and benchmark of deep learning methods for non-coding RNA classification. - Constance Creux; Farida Zehraoui; François Radvanyi; Fariza Tahi (PLoS Comput. Biol., 2024)