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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 7, 2006
A deformable grid-matching approach for microarray imagesMichele Ceccarelli, Giuliano AntoniolBMC Bioinformatics|March 16, 2020
Machine learning prediction of oncology drug targets based on protein and network propertiesZoltán Dezső, Michele CeccarelliTranslational Oncology|January 30, 2021
Genome-wide analysis of copy number alterations led to the characterisation of PDCD10 as oncogene in ovarian cancerCarmela De Marco, Pietro Zoppoli, Nicola Rinaldo, et al.Methods (San Diego, Calif.)|June 25, 2014
De novo reconstruction of gene regulatory networks from time series data, an approach based on formal methodsMichele Ceccarelli, Luigi Cerulo, Antonella SantoneBMC Bioinformatics|October 16, 2009
A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detectionMichele Ceccarelli, Antonio d'Acierno, Angelo FacchianoBMC Bioinformatics|May 7, 2010
Learning gene regulatory networks from only positive and unlabeled dataLuigi Cerulo, Charles Elkan, Michele CeccarelliNucleic Acids Research|October 5, 2017
Short inverted repeats contribute to localized mutability in human somatic cellsXueqing Zou, Sandro Morganella, Dominik Glodzik, et al.Plos Computational Biology|March 10, 2018
ChromoTrace: Computational reconstruction of 3D chromosome configurations for super-resolution microscopyCarl Barton, Sandro Morganella, Øyvind Ødegård-Fougner, et al.Plos One|December 19, 2013
Automated identification and location analysis of marked stem cells colonies in optical microscopy imagesVincenzo Paduano, Daniela Tagliaferri, Geppino Falco, et al.BMC Bioinformatics|February 2, 2013
A negative selection heuristic to predict new transcriptional targetsLuigi Cerulo, Vincenzo Paduano, Pietro Zoppoli, et al.Pageof 17