identify biomarkers of treatment response
or classification of disease sub-types
enhance learning from biological data
through custom analytical pipelines
problema client asked COSBI to predict the efficacy of a trivalent influenza vaccine (TIV) one month after the vaccination
by developing a proprietary rank-based algorithm, we computed a trascriptional biomarker that predicts vaccination efficacy
COSBI developed a novel rank-based method to identify biomarkers
a biological interpretation of the results led us to identify important regulative mechanisms of the TIV vaccine response
M. Lauria, P. Moyseos, C. Priami. SCUDO: a tool for signature-based clustering of expression profiles. Nucleic Acid Research, 2015.
C. Priami and M.J. Morine. analysis of biological systems. Imperial College Press, 2015
S. Lacroix, M. Lauria, M. Scott-Boyer, L. Marchetti, C. Priami, L. Caberlotto. Systems biology approaches to study the molecular effects of caloric restriction and polyphenols on aging processes, Genes & Nutrition, 10, 2015.
L. Caberlotto, M. Lauria. Systems biology meets -omic technologies: novel approaches to biomarker discovery and companion diagnostic development., Expert Review of Molecular Diagnostics, 15(2):255-265, 2014.
M. Lauria. Rank-Based miRNA Signatures for Early Cancer Detection, BioMed Research International, :Article ID 192646, 2014.
Tarca, M. Lauria, M. Unger, E. Bilal, S. Boue, K. Dey, J. Hoeng, H. Koeppl, F. Martin, P. Meyer, P. Nandy, R. Norel, M. Peitsch, J. Rice, R. Romero, G. Stolovitzky, M. Talikka, Y. Xiang, C. Zechne. Strengths and limitations of microarray-based phenotype prediction: Lessons learned from the IMPROVER Diagnostic Signature Challenge, Bioinformatics, 29:2892-9, Oxford University Press, 2013.
M. Lauria. Rank-based transcriptional signatures: A novel approach to diagnostic biomarker definition and analysis, Systems Biomedicine, 1:0-10, Landes Bioscience, 2013.