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

Autor Dezső, Zoltán, Ceccarelli, Michele
Vydáno v BMC Bioinformatics (2020)

Learning gene regulatory networks from only positive and unlabeled data

Autor Elkan Charles, Cerulo Luigi, Ceccarelli Michele
Vydáno 2010-05-01

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

Autor Morganella, Sandro, Zoppoli, Pietro, Ceccarelli, Michele
Vydáno 2009

Learning gene regulatory networks from only positive and unlabeled data

Autor Cerulo, Luigi, Elkan, Charles, Ceccarelli, Michele
Vydáno 2010

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

Autor Zoppoli, Pietro, Morganella, Sandro, Ceccarelli, Michele
Vydáno 2010

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

Autor Ceccarelli, Michele, d'Acierno, Antonio, Facchiano, Angelo
Vydáno 2009

A negative selection heuristic to predict new transcriptional targets

Autor Cerulo, Luigi, Paduano, Vincenzo, Zoppoli, Pietro, Ceccarelli, Michele
Vydáno 2013

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

Autor Paduano, Vincenzo, Tagliaferri, Daniela, Falco, Geppino, Ceccarelli, Michele
Vydáno 2013

Detection of statistically significant network changes in complex biological networks

Autor Mall, Raghvendra, Cerulo, Luigi, Bensmail, Halima, Iavarone, Antonio, Ceccarelli, Michele
Vydáno v BMC Syst Biol (2017)

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

Autor Anjum, Samreen, Morganella, Sandro, D’Angelo, Fulvio, Iavarone, Antonio, Ceccarelli, Michele
Vydáno v BMC Bioinformatics (2015)

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

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

Immune Escape Mechanisms in Colorectal Cancer Pathogenesis and Liver Metastasis

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

Toward the identification of genetic determinants of breast cancer immune responsiveness

Autor Simeone, Ines, Hendrickx, Wouter, Miller, Lance, Bensmail, Halima, Wang, Ena, Marincola, Francesco, Ceccarelli, Michele, Bedognetti, Davide
Vydáno v J Immunother Cancer (2015)

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

Autor Malta, Tathiane, Sabedot, Thaís, Ceccarelli, Michele, Barthel, Floris, Pagnotta, Stefano, Iavarone, Antonio, Verhaak, Roel, Noushmehr, Houtan
Vydáno v Neuro Oncol (2015)

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

Autor Silva, Tiago C., Colaprico, Antonio, Olsen, Catharina, D'Angelo, Fulvio, Bontempi, Gianluca, Ceccarelli, Michele, Noushmehr, Houtan
Vydáno v F1000Res (2016)

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

Autor Ventola, Giovanna M. M., Noviello, Teresa M. R., D’Aniello, Salvatore, Spagnuolo, Antonietta, Ceccarelli, Michele, Cerulo, Luigi
Vydáno v BMC Bioinformatics (2017)

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

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

Detection of long non–coding RNA homology, a comparative study on alignment and alignment–free metrics

Autor Noviello, Teresa M. R., Di Liddo, Antonella, Ventola, Giovanna M., Spagnuolo, Antonietta, D’Aniello, Salvatore, Ceccarelli, Michele, Cerulo, Luigi
Vydáno v BMC Bioinformatics (2018)

High Somatic Mutation and Neoantigen Burden Do Not Correlate with Decreased Progression-Free Survival in HCC Patients not Undergoing Immunotherapy

Autor Mauriello, Angela, Zeuli, Roberta, Cavalluzzo, Beatrice, Petrizzo, Annacarmen, Tornesello, Maria Lina, Buonaguro, Franco M., Ceccarelli, Michele, Tagliamonte, Maria, Buonaguro, Luigi
Vydáno v Cancers (Basel) (2019)

Retinoic Acid Specifically Enhances Embryonic Stem Cell Metastate Marked by Zscan4

Autor Tagliaferri, Daniela, De Angelis, Maria Teresa, Russo, Nicola Antonino, Marotta, Maria, Ceccarelli, Michele, Del Vecchio, Luigi, De Felice, Mario, Falco, Geppino
Vydáno v PLoS One (2016)