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M. Luz Calle Rosingana

Titular Professor, Systems Biology Department, University of Vic
Chair of the Master's degree in Omics Data Analysis, University of Vic


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Research Areas

Survival Analysis
Statistical Genetics and Medical Statistics
Statistical methods in bioinformatics

Education:

PhD in Mathematics, Polytechnic University of Catalonia, February 1997
Postgraduate Course in Applied Statistics, Polytechnic University of Catalonia, June 1991
Graduate in Mathematics, Barcelona University, June 1986

Current Projects:

MTM2012-38067-C02-02: Methods for identification of genetic profiles and interactions

Ministerio de Economía y Competitividad

Coordinated project: UPC (Universitat Politècnica de Catalunya) – UVic (Universitat de Vic)

2013-2015

 

UNNIM grant in health sciences 2011: genotips relacionats amb la neuroplasticitat sinàptica en malalts d’alzheimer i en controls sans

UNNIM – Obra Social

2012- 2013

 

2009SGR-581: Bioinformàtica i Estadística Mèdica. Grup Singular.

AGAUR- Generalitat de Catalunya

2009-2013

 

MTM2008-06747-C02-02: Statistical genetics: the genetic bases of complex diseases

Ministerio de Ciencia e Innovación

Coordinated project: UPC (Universitat Politècnica de Catalunya) – UVic (Universitat deVic)

2008-2011

 

FP7-HEALTH-2007A- PROJECT 201663-UROMOL: Prediction of bladder cancer disease course using risk scores that combine molecular and clinical risk factors

European Commission

Coordinated project between 8 European groups from Denmark, Sweden, Holland and Spain.

2008-2013

Selection of Publications:


  • Porta N, Calle ML, Malat N, Gómez G. (2012). A dynamic model for the risk of bladder cancer progression. Statistics in Medicine. Vol. 31, pp 287-300. DOI: 10.1002/sim.4433
  • Calle ML, Urrea V, Boulesteix AL, Malats N. (2011). AUC-RF: A new strategy for genomic profiling with Random Forest. Hum Hered; 72:121-132 (DOI: 10.1159/000330778)
  • Calle,ML, Urrea, V, Malats, N, Van Steen, K (2010). mbmdr: an R package for exploring gene-gene interactions associated with binary or quantitative traits. Bioinformatics. Vol. 26 (17), pp 2198–2199 (2010) doi: 10.1093/bioinformatics/btq352
  • T. Cattaert, ML. Calle, S. Dudek, J.M. Mahachie John, F. Van Lishout, V. Urrea, M.D. Ritchie and K. Van Steen. (2010). A detailed view on Model-Based Multifactor Dimensionality Reduction for detecting gene-gene interactions in case-control data in the absence and presence of noise. Annals of Human Genetics. DOI: 10.1111/j.1469-1809.2010.00604.x
  • Cattaert, T., Urrea, V., Naj, A.C., De Lobel, L., De Wit, V., Fu, M., Mahachie John, J.M., Shen, H., Calle, M.L., Ritchie, M.D., Edwards, T.L. & Van Steen, K. (2010). FAM-MDR: a flexible family-base multifactor dimensionality reduction technique to detect epistasis using related individuals. Public Library of Science ONE, vol 5 (4).
  • Calle,ML. and Urrea, V. (2010). Stability of Random Forest Importance Measures. Briefings in Bioinformatics, doi: 10.1093/bib/bbq011.
  • L.T. Guey, M. García-Closas, C. Murta-Nascimento, J. Lloreta, L. Palencia, M. Kogevinas, N. Rothman,
    G.Vellalta, M.L. Calle, G. Marenne, A. Tardón, A. Carrato, R. García-Closas, C. Serram, D.T. Silverman, S. Chanock, F.X. Real, N. Malats
    . (2010). Genetic Susceptibility to Distinct Bladder Cancer Subphenotypes. European Urology, vol 57(2) pp 283-92 .
  • Gómez, G., Calle, ML., Oller, R., Langhor, K. (2009). Tutorial on methods for interval-censored data and their implementation in R. Statistical Modelling, vol 9(4), pp 259–297.
  • Calle, M.L., Urrea, V., Vellalta, G., Malats, N., Steen, K.V. (2008).  Improving strategies for detecting genetic patterns of disease susceptibility in association studies. Statistics in Medicine 27 (30), 6532-6546.
  • Oller, R., Gómez, G., Calle, M.L. (2007).  Interval censoring: identifiability and the constant-sum property. Biometrika 94 (1), 61-70.
  • Hough, G., Calle, M.L., Serrat, C., Curia, A. (2007).   Number of consumers necessary for shelf life estimations based on survival analysis statistics. Food Quality and Preference 18 (5), 771–775.

Contact:

Universitat de Vic
Sagrada Familia, 7
08500 VIC, SPAIN
Phone: +34 938 861 222
Fax: +34 938 856 900
Email: malu.calleARROBAuvic.cat