Latest work

• Rognon-Vael P, Rossell D, Zwiernik P. Improving variable selection properties by using external data (2025) arxiv 2502.15584 

• Torrens M, Papaspiliopoulos O, Rossell D. Confounder importance learning for treatment effect inference. Bayesian Analysis  (2025, in press). arvix.2110.00314 

• Rossell D, Kseung AK, Saez I, Michele G. Semi-parametric local variable selection under misspecification. Biometrika 2025, 112(2) asa068. Paper  Pre-print (arxiv). DOI 10.1093/biomet/asae068 

• Jewson J, Li L, Battaglia L, Hansen S, Rossell D, Zwiernik P. Graphical model inference with external network data. Biometrics 2024, 80(4). ujae151. arxiv 2210.11107 

• Carter JS, Rossell D, Smith JQ. Partial correlation graphical LASSO (2024). Scandinavian Journal of Statistics, 51, 32-63. Open access version   https://doi.org/10.1111/sjos.12675

• Rossell D. Discussion of "Martingale Posterior Distributions", by Hong, Holmes & Walker. JRSS-B 2023, 85(5), 1408-1409. arXiv

• Jewson J, Rossell D. Loss function selection and the use of improper models. Journal of the Royal Statistical Society B (2022), 84, 1640-1665. Online version 

• Rossell D. Concentration of posterior probabilities and normalized L0 criteria (2022). Bayesian Analysis, 17, 2, 565-591. Open access version

• Rossell D, Abril O, Bhattacharya A. Approximate Laplace approximations for scalable model selection (2021). Journal of the Royal Statistical Society B, 83, 4, 853-879. Online version (open access) 

• Rossell D, Zwiernik P. Dependence in elliptical partial correlation graphs (2021). Electronic Journal of Statistics, 15, 2, 4236-4263. Open access version

• Rossell D, Rubio FJ. Additive Bayesian variable selection under censoring and  misspecification (2021). Statistical Science, 38, 1,13-29 Open access

• Semken C, Rossell D. Specification analysis for technology use and teenager well-being. Statistical validity and a Bayesian proposal (2022). Journal of the Royal Statistical Society C, 71, 1330-1355 Open access version Supplementary material 

Papers (Statistics)

• Avalos-Pacheco A., Rossell D., Savage R (2022). Heterogeneous large datasets integration using Bayesian factor regression. Bayesian Analysis. 17(1): 33-66. arXiv.1810.09894

• Fúquene J., Steel M.F.J., Rossell D. On choosing mixture components via non-local priors (2019). Journal of the Royal Statistical Society B, 81, 5, 809-837. arxiv version 

• Rossell D, Rubio FJ. Tractable Bayesian variable selection: beyond normality (2018). Journal of the American Statistical Association, 113, 524, 1742-1758. JASA version. arxiv version

• Papaspiliopoulos O., Rossell D. Bayesian block-diagonal variable selection and model averaging. (2017). Biometrika, 104, 343-359. arxiv version, Biometrika version

• Rossell D., Telesca D. Non-local priors for high-dimensional estimation (2017). Journal of the American Statistical Association, 112, 254-265. JASA version, Authors' version. Supplement. See R package mombf

• Stephan-Otto Attolini C., Peña V., Rossell D. (2015) Designing alternative splicing RNA-seq studies. Beyond generic guidelines. Bioinformatics, btv436, 1-7

• Rossell D. Big Data and Statistics. A statistician's perspective (2014). Mètode Science Studies Journal - Annual Review, 5, 143-149. DOI: 10.7203/metode.83.3590. pdf 

• Rossell D., Stephan-Otto Attolini C., Kroiss M., Stöcker A. (2014) Quantifying alternative splicing from paired-end RNA-seq data. Annals of Applied Statistics, 8:1, 309-330. Paper. Supplementary material. Corrigendum. See Bioconductor package casper

• Font-Burgada J, Reina O, Rossell D, Azorin F. (2014) chroGPS, a global chromatin positioning system for the functional analysis and visualization of the epigenome. Nucleid Acids Research, 42(4):2126-37. See Bioconductor package chroGPS 

• Rossell D., Telesca D., Johnson V.E. (2013) High-Dimensional Bayesian Classifiers using Non-Local Priors. In Statistical Models for Data Analysis, XV: 305-314. Eds. P. Giudici, S. Ingrassia, M. Vichy. Springer, ISBN 978-3-319-00032-9. Paper. R package mombf

• Rossell D., Müller P. (2013) Sequential Stopping for High-Throughput Experiments. Biostatistics, 14(1): 75-86. doi:10.1093/biostatistics/kxs026. Technical report. Bioconductor package gaga

• Johnson V.E., Rossell D. (2012) Bayesian model selection in High-dimensional settings. Journal of the American Statistical Association, 107, 498, 649-660. Errata. R package mombf

• Planet E., Stephan-Otto Attolini C., Reina O., Flores O., Rossell D. (2012) htSeqTools: High-Throughput Sequencing Quality Control, Processing and Visualization in R. Bioinformatics; Vol. 28(4): 589-590. Bioconductor package htSeqTools

• Johnson V.E., Rossell D. (2010) Non-Local Prior Densities for Default Bayesian Hypothesis Tests. Journal of the Royal Statistical Society B, 72, 143-170. technical report (R package mombf)

• Rossell D. (2009) GaGa: a Parsimonious and Flexible Model for Differential Expression Analysis. Annals of Applied Statistics, 3, 1035-1051. (Bioconductor package gaga). Supplementary material. 

• Rossell D., Scott C., Guerra R. (2008) Semi-parametric Differential Expression Analysis via Partial Mixture Estimation. Statistical Applications in Genetics and Molecular Biology, Vol.7, 1, 15. (paper) (see software section)

• Rossell D., Mueller P., Rosner G. (2006) Screening designs for drug development. Biostatistics, 8:595-608 (see software section)

Book chapters

• Rossell D., Rubio FJ. Balacing sparsity and power: likelihoods, priors and misspecification (2021). Handbook of Bayesian Variable Selection, Chapter 16. Chapman Hall & CRC press. Supplementary material (data & code) 

• Rossell D., Steel M.F.J. (2019) Continuous mixtures with skewness and heavy tails. In Handbook of mixture analysis, Chapter 10, Chapman & Hall/CRC press.

• Rossell D., Baladandayuthapani, V., Johnson, V.E. (2008) Bayes Factors Based on Test Statistics under Order Restrictions. In Hoijtink H., Klugkist I. , Boelen P. Bayesian evaluation of informative hypotheses in psychology. Springer, pp. 111-129. (see R library isoregbf in software section).   

Papers (cross-disciplinary)

• Palacio Lozano D, Jones H, Gavard R, Thomas M, Ramírez Novoa C; Wootton C; Sarmiento C, Aristóbulo J, O'Connor P, Spencer S, Rossell D, Mejía-Ospino E, Witt M, Barrow M (2022). Revealing the reactivity of individual chemical entities in complex mixtures: the chemistry behind bio-oil upgrading. Analytical Chemistry, 94.21, 7536-7544

• Gavard R, Jones H, Palacio Lozano D, Thomas M, Rossell D, Spencer S, Barrow M (2020). KairosMS: A new solution for the processing of hyphenated ultrahigh resolution mass spectrometry data. Analytical Chemistry, 92.5 3775-86

• Beauchemin L, Slifker M, Rossell D, Font-Burgada J. (2020). Characterizing MHC-I genotype predictive power for oncogenic mutation probability in cancer patients. In Immunoinformatics, Methods and Protocols. Springer.  ISBN 978-1-0716-0388-8

• Gavard R, Palacio Lozano D, Guzman A, Rossell D, Spencer S, Barrow M (2019). Rhapso: Automatic stitching of mass segments from Fourier transform ion cyclotron resonance mass spectra. Analytical Chemistry, 91:15130-37

• Palacio Lozano DC, Gavard R, Arenas-Dias JP, Thomas MJ, Stranz D, Mejia-Ospino D, Guzman A, Spencer SEF, Rossell D, Barrow MP (2019) Pushing the Analytical Limits: New Insights into Complex Mixtures using Mass Spectra Segments of Constant Ultrahigh Resolving Power. Chemical Science, 29, 6966-6978 Online version

• Marty R, Kaabinejadian S, van de Haar J, Rossell D, Ideker T, Hildebrand W, Engin HB, Font-Burgada J, Carter H. (2017) MHC-I genotype restricts the oncogenic mutational landscape. Cell, 171, 1272-1283

• Gavard R, Rossell D; Spencer S, Barrow M. (2017) Themis: Batch Pre-processing for Ultrahigh Resolution Mass Spectra of Complex Mixtures. Analytical Chemistry, 89, 11383-11390

• Font-Burgada J, Shalapour S, Ramaswamy S, Hsueh B, Rossell D, Umemura A, Taniguchi K, Nakagawa H, Valasek MA, Ye L, Kopp JL, Sander M, Carter H, Deisseroth K, Verma IM, Karin M. (2015) Hybrid Periportal Hepatocytes Regenerate the Injured Liver without Giving Rise to Cancer. Cell, 162(4):766-79.

• Calon A, Lonardo E, Berenguer A, Espinet E, Hernando-Momblona X, Iglesias M, Sevillano M, Palomo-Ponce S, Tauriello DVF, Byrom D, Cortina C, Morral C, Barceló C, Tosi S, Riera A, Stephan-Otto Attolini C, Rossell D, Sancho E, Batlle E. (2015) Stromal gene expression defines poor prognosis subtypes in colorectal cancer. Nature Genetics, 47, 320-329. doi:10.1038/ng.3225

• Duran-Frigola M, Rossell D, Aloy P. (2014) A chemo-centric view of human health and disease. Nature Communications 01/2014; 5:5676. DOI:10.1038/ncomms6.

• Kalari KR; Necela BM; Tang X; Lau M; Passow JEE; Kachergus JM; Anderson SK; Sun Z; Baheti S; Carr JM; Baker TR; Thompson KJ; Radisky DC; Joseph RW; McLaughlin SA; Chai H-S; Stephan-Otto Attolini C; Rossell D; Asmann YW; Thompson EA; Perez EA (2013). An integrated model of the transcriptome of HER2-positive breast cancer. PLOS ONE, 8(11), 1-21, e79298.

• Kalari, K. R., Chai, H. S., Asmann, Y. W., Tang, X., Rossell, D., Baheti, S. et al. (2012). Modeling the transcriptome landscape of HER2+ breast cancer. Cancer Research, 72(8 Supplement), 4926-4926.

• Calon A, Espinet E, Palomo-Ponce S, Tauriello DVF, Iglesias M, Céspedes MV, Sevillano M, Nadal C, Jung P, Zhang XH-F, Byrom D, Riera A, Rossell D, Mangues R, Massague J, Sancho E, Batlle E. (2012) Dependency of colorectal cancer on a TGF-beta-driven programme in stromal cells for metastasis initiation. Cancer Cell, 22(5), 571-584.

• Lloret-Llinares M, Perez-Lluch S, Rossell D, Morán T, Ponsà J, Auer H, Corominas M, Azorin F. dKDM5/LID regulates H3K4me3 dynamics at the transcription-start site (TSS) of actively transcribed developmental genes (2012). Nucleic Acids Research, 40(19):9493-505

• Kalari KR, Rossell D, Necela BM, Asmann YW, Nair A, Baheti S, Kachergus JM, Younkin CS, Baker TR, Carr JM, Xiaojia T, Walsh M, Chai HS, Sun Z, Hart SN, Leontovich AA, Hossain A, Kocher JP, Perez EA, Reisman DN, Fields AP, Thompson A. (2012) Deep sequence analysis of non-small cell lung cancer: Integrated analysis of gene expression, alternative splicing, and single nucleotide variations in lung adenocarcinomas with and without oncogenic KRAS mutations. Frontiers in Cancer Genetics, 2:12. doi: 10.3389/fonc.2012.00012

• Jung P., Sato T., Merlos-Suárez A., Barriga F.M., Iglesias M., Rossell D., Gallardo M.M., Blasco M.A., Sancho E., Clevers H., Batlle E. (2011) Isolation and in vitro expansion of human colonic stem cells. Nature Medicine, 17, 1225-1227 (doi: 10.1038/nm.2470)

• Merlos-Suarez A., Barriga F.M., Jung P., Iglesias M., Céspedes M.V., Rossell D., Sevillano M., Hernando-Momblona X., da Silva-Diz V., Muñoz P., Clevers H., Sancho E., Mangues R., Battle E. (2011) The Intestinal Stem Cell Signature Identifies Colorectal Cancer Stem Cells and Predicts Disease Relapse. Cell Stem Cell, 8, 511-524

• Janic A., Mendizabal L., Llamazares S., Rossell D., Gonzalez C. (2010) Ectopic expression of germline genes drives malignant brain tumor growth in Drosophila. Science, 330 (3012), 1824-1827.

• Geslain R., Cubells L., Bori-Sanz T., Álvarez-Medina,R., Rossell D., Martí E., Ribas de Pouplana L. (2009) Chimeric tRNAs as tools to induce proteome damage and identify components of stress responses. Nucleic Acids Research, 2009, 38, 5, e30.

• Font-Burgada J., Rossell D., Auer H., Azorín F (2008). Drosophila HP1c isoform interacts with the zinc-finger proteins WOC and Relative-of-WOC to regulate gene expression. Genes Dev, 2008, 22 (21), 3007-3023.