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

por Dezső, Zoltán, Ceccarelli, Michele
Publicado 2020

Pan-cancer onco-signatures reveal a novel mitochondrial subtype of luminal breast cancer with specific regulators

por Simeone, Ines, Ceccarelli, Michele
Publicado 2023

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

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

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

Learning gene regulatory networks from only positive and unlabeled data

por Cerulo, Luigi, Elkan, Charles, 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

Pancancer network analysis reveals key master regulators for cancer invasiveness

por Jethalia, Mahesh, Jani, Siddhi P., Ceccarelli, Michele, Mall, Raghvendra
Publicado 2023

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

por Caruso, Francesca P, Scala, Giovanni, Cerulo, Luigi, Ceccarelli, Michele
Publicado 2020

MOViDA: multiomics visible drug activity prediction with a biologically informed neural network model

por Ferraro, Luigi, Scala, Giovanni, Cerulo, Luigi, Carosati, Emanuele, Ceccarelli, Michele
Publicado 2023

Detection of statistically significant network changes in complex biological networks

por Mall, Raghvendra, Cerulo, Luigi, Bensmail, Halima, Iavarone, Antonio, Ceccarelli, Michele
Publicado 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 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 2015

A variational algorithm to detect the clonal copy number substructure of tumors from scRNA-seq data

por De Falco, Antonio, Caruso, Francesca, Su, Xiao-Dong, Iavarone, Antonio, Ceccarelli, Michele
Publicado 2023

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 2021

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 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 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 2017