Implications of chimaeric non-co-linear transcripts, Nature, vol.322, issue.7261, pp.206-217, 2009. ,
DOI : 10.1038/nature08452
The landscape and therapeutic relevance of cancer-associated transcript fusions. Oncogene aop(current) ,
Expanding the computational toolbox for mining cancer genomes, Nature Reviews Genetics, vol.486, issue.8, pp.556-70, 2014. ,
DOI : 10.1093/bioinformatics/btt395
Transcription-Mediated Chimeric RNAs in Prostate Cancer: Time to Revisit Old Hypothesis?, OMICS: A Journal of Integrative Biology, vol.18, issue.10, pp.615-639, 2014. ,
DOI : 10.1089/omi.2014.0042
State-of-the-Art Fusion-Finder Algorithms Sensitivity and Specificity, BioMed Research International, vol.27, issue.18, pp.1-6, 2013. ,
DOI : 10.1093/bioinformatics/btm469
Comprehensive evaluation of fusion transcript detection algorithms and a meta-caller to combine top performing methods in paired-end RNA-seq data, Nucleic Acids Research, vol.44, issue.5 ,
DOI : 10.1093/nar/gkv1234
Ensemble based systems in decision making, IEEE Circuits and Systems Magazine, vol.6, issue.3, pp.21-45, 2006. ,
DOI : 10.1109/MCAS.2006.1688199
Machine learning in bioinformatics, Machine learning in bioinformatics, pp.86-112, 2006. ,
DOI : 10.1093/bib/bbk007
A few useful things to know about machine learning, Communications of the ACM, vol.55, issue.10, pp.78-87, 2012. ,
DOI : 10.1145/2347736.2347755
State of art fusion-finder algorithms are suitable to detect transcription-induced chimeras in normal tissues?, BMC Bioinformatics, vol.14, issue.Suppl 7, 2013. ,
DOI : 10.1186/gb-2009-10-3-r25
Discovering chimeric transcripts in paired-end RNA-seq data by using EricScript, Bioinformatics, vol.28, issue.24 ,
DOI : 10.1093/bioinformatics/bts617
deFuse: An Algorithm for Gene Fusion Discovery in Tumor RNA-Seq Data, PLoS Computational Biology, vol.7, issue.5, 2011. ,
DOI : 10.1371/journal.pcbi.1001138.s015
FUSIM: a software tool for simulating fusion transcripts, BMC Bioinformatics, vol.14, issue.1, pp.13-23, 2013. ,
DOI : 10.1093/bioinformatics/btr708
Modelling and simulating generic RNA-Seq experiments with the flux simulator, Nucleic Acids Research, vol.40, issue.20, pp.10073-83, 2012. ,
DOI : 10.1093/nar/gks666
URL : https://hal.archives-ouvertes.fr/hal-00744755
CRAC: an integrated approach to the analysis of RNA-seq reads, Genome Biology, vol.14, issue.3, 2013. ,
DOI : 10.1371/journal.pone.0012271
URL : https://hal.archives-ouvertes.fr/inserm-00850972
Building Predictive Models in R Using the caret Package, J Stat Softw, vol.28, issue.5, pp.1-26, 2008. ,