Machine learning prediction of oncology drug targets based on protein and network properties

por Dezső, Zoltán, Ceccarelli, Michele
Publicado en BMC Bioinformatics (2020)

Learning gene regulatory networks from only positive and unlabeled data

por Elkan Charles, Cerulo Luigi, Ceccarelli Michele
Publicado 2010-05-01

IRIS: a method for reverse engineering of regulatory relations in gene networks

por Morganella, Sandro, Zoppoli, Pietro, Ceccarelli, Michele
Publicado 2009

Learning gene regulatory networks from only positive and unlabeled data

por Cerulo, Luigi, Elkan, Charles, Ceccarelli, Michele
Publicado 2010

TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach

por Zoppoli, Pietro, Morganella, Sandro, Ceccarelli, Michele
Publicado 2010

A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection

por Ceccarelli, Michele, d'Acierno, Antonio, Facchiano, Angelo
Publicado 2009

A negative selection heuristic to predict new transcriptional targets

por Cerulo, Luigi, Paduano, Vincenzo, Zoppoli, Pietro, Ceccarelli, Michele
Publicado 2013

Automated Identification and Location Analysis of Marked Stem Cells Colonies in Optical Microscopy Images

por Paduano, Vincenzo, Tagliaferri, Daniela, Falco, Geppino, Ceccarelli, Michele
Publicado 2013

A review of COVID-19 biomarkers and drug targets: resources and tools

por Caruso, Francesca P, Scala, Giovanni, Cerulo, Luigi, Ceccarelli, Michele
Publicado en Brief Bioinform (2020)

Detection of statistically significant network changes in complex biological networks

por Mall, Raghvendra, Cerulo, Luigi, Bensmail, Halima, Iavarone, Antonio, Ceccarelli, Michele
Publicado en BMC Syst Biol (2017)

Deep learning predicts short non-coding RNA functions from only raw sequence data

por Noviello, Teresa Maria Rosaria, Ceccarelli, Francesco, Ceccarelli, Michele, Cerulo, Luigi
Publicado en PLoS Comput Biol (2020)

VEGAWES: variational segmentation on whole exome sequencing for copy number detection

por Anjum, Samreen, Morganella, Sandro, D’Angelo, Fulvio, Iavarone, Antonio, Ceccarelli, Michele
Publicado en BMC Bioinformatics (2015)

Structural Model for Recruitment of RIT1 to the LZTR1 E3 Ligase: Evidences from an Integrated Computational Approach

por Paladino, Antonella, D’Angelo, Fulvio, Noviello, Teresa Maria Rosaria, Iavarone, Antonio, Ceccarelli, Michele
Publicado en J Chem Inf Model (2021)

TRAF7 Protein Promotes Lys-29-linked Polyubiquitination of IκB Kinase (IKKγ)/NF-κB Essential Modulator (NEMO) and p65/RelA Protein and Represses NF-κB Activation

por Zotti, Tiziana, Uva, Antonio, Ferravante, Angela, Vessichelli, Mariangela, Scudiero, Ivan, Ceccarelli, Michele, Vito, Pasquale, Stilo, Romania
Publicado 2011

Immune Escape Mechanisms in Colorectal Cancer Pathogenesis and Liver Metastasis

por Pancione, Massimo, Giordano, Guido, Remo, Andrea, Febbraro, Antonio, Sabatino, Lina, Manfrin, Erminia, Ceccarelli, Michele, Colantuoni, Vittorio
Publicado 2014

Toward the identification of genetic determinants of breast cancer immune responsiveness

por Simeone, Ines, Hendrickx, Wouter, Miller, Lance, Bensmail, Halima, Wang, Ena, Marincola, Francesco, Ceccarelli, Michele, Bedognetti, Davide
Publicado en J Immunother Cancer (2015)

EPIG-14 EPIGENOMIC (DNA METHYLATION AND EXPRESSION) SIGNATURES DEFINE SUBSETS OF BOTH IDHmut AND IDHwt GLIOMA WITH DISTINCT CLINICAL OUTCOMES

por Malta, Tathiane, Sabedot, Thaís, Ceccarelli, Michele, Barthel, Floris, Pagnotta, Stefano, Iavarone, Antonio, Verhaak, Roel, Noushmehr, Houtan
Publicado en Neuro Oncol (2015)

TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages

por Silva, Tiago C., Colaprico, Antonio, Olsen, Catharina, D'Angelo, Fulvio, Bontempi, Gianluca, Ceccarelli, Michele, Noushmehr, Houtan
Publicado en F1000Res (2016)

Identification of long non-coding transcripts with feature selection: a comparative study

por Ventola, Giovanna M. M., Noviello, Teresa M. R., D’Aniello, Salvatore, Spagnuolo, Antonietta, Ceccarelli, Michele, Cerulo, Luigi
Publicado en BMC Bioinformatics (2017)

Identification of a Novel Gene Signature of ES Cells Self-Renewal Fluctuation through System-Wide Analysis

por Cerulo, Luigi, Tagliaferri, Daniela, Marotta, Pina, Zoppoli, Pietro, Russo, Filomena, Mazio, Claudia, DeFelice, Mario, Ceccarelli, Michele, Falco, Geppino
Publicado 2014