Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Michele Ceccarelli

Showing results (11-20 of 145) with videos related to

Pageof 15
Sort By:
Bioinformatics (Oxford, England)|August 30, 2011
Finding recurrent copy number alterations preserving within-sample homogeneitySandro Morganella, Stefano Maria Pagnotta, Michele Ceccarelli
Bioinformatics (Oxford, England)|October 21, 2010
VEGA: variational segmentation for copy number detectionSandro Morganella, Luigi Cerulo, Giuseppe Viglietto, 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.
Journal of Translational Medicine|August 20, 2023
Pancancer network analysis reveals key master regulators for cancer invasivenessMahesh Jethalia, Siddhi P Jani, Michele Ceccarelli, et al.
Journal for Immunotherapy of Cancer|January 23, 2025
Leveraging mRNA technology for antigen based immuno-oncology therapiesCharalampos S Floudas, Siranush Sarkizova, Michele Ceccarelli, et al.
Briefings in Bioinformatics|December 6, 2020
A review of COVID-19 biomarkers and drug targets: resources and toolsFrancesca P Caruso, Giovanni Scala, Luigi Cerulo, et al.
BMC Systems Biology|March 6, 2017
Detection of statistically significant network changes in complex biological networksRaghvendra Mall, Luigi Cerulo, Halima Bensmail, et al.
Nucleic Acids Research|June 17, 2024
Reinventing gene expression connectivity through regulatory and spatial structural empowerment via principal node aggregation graph neural networkFengyao Yan, Limin Jiang, Danqian Chen, et al.
Plos Computational Biology|November 11, 2020
Deep learning predicts short non-coding RNA functions from only raw sequence dataTeresa Maria Rosaria Noviello, Francesco Ceccarelli, Michele Ceccarelli, et al.
Pageof 15

Showing results (11-20 of 145) with videos related to

Sort By:
Pageof 15
Bioinformatics (Oxford, England)|August 30, 2011
Finding recurrent copy number alterations preserving within-sample homogeneitySandro Morganella, Stefano Maria Pagnotta, Michele Ceccarelli
Bioinformatics (Oxford, England)|October 21, 2010
VEGA: variational segmentation for copy number detectionSandro Morganella, Luigi Cerulo, Giuseppe Viglietto, 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.
Journal of Translational Medicine|August 20, 2023
Pancancer network analysis reveals key master regulators for cancer invasivenessMahesh Jethalia, Siddhi P Jani, Michele Ceccarelli, et al.
Journal for Immunotherapy of Cancer|January 23, 2025
Leveraging mRNA technology for antigen based immuno-oncology therapiesCharalampos S Floudas, Siranush Sarkizova, Michele Ceccarelli, et al.
Briefings in Bioinformatics|December 6, 2020
A review of COVID-19 biomarkers and drug targets: resources and toolsFrancesca P Caruso, Giovanni Scala, Luigi Cerulo, et al.
BMC Systems Biology|March 6, 2017
Detection of statistically significant network changes in complex biological networksRaghvendra Mall, Luigi Cerulo, Halima Bensmail, et al.
Nucleic Acids Research|June 17, 2024
Reinventing gene expression connectivity through regulatory and spatial structural empowerment via principal node aggregation graph neural networkFengyao Yan, Limin Jiang, Danqian Chen, et al.
Plos Computational Biology|November 11, 2020
Deep learning predicts short non-coding RNA functions from only raw sequence dataTeresa Maria Rosaria Noviello, Francesco Ceccarelli, Michele Ceccarelli, et al.
Pageof 15