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Entropy (Basel, Switzerland)
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May 28, 2022
massiveGST: A Mann-Whitney-Wilcoxon Gene-Set Test Tool That Gives Meaning to Gene-Set Enrichment Analysis
Luigi Cerulo, Stefano Maria Pagnotta
BMC Bioinformatics
|
May 7, 2010
Learning gene regulatory networks from only positive and unlabeled data
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
Methods (San Diego, Calif.)
|
June 25, 2014
De novo reconstruction of gene regulatory networks from time series data, an approach based on formal methods
Michele Ceccarelli, Luigi Cerulo, Antonella Santone
BMC Bioinformatics
|
February 2, 2013
A negative selection heuristic to predict new transcriptional targets
Luigi Cerulo, Vincenzo Paduano, Pietro Zoppoli, et al.
Frontiers in Bioinformatics
|
June 5, 2026
Decoding exonic intron retention from sequence: an exploratory study in the human genome
Luca Faretra, Francesco Napolitano, Massimo Pancione, et al.
Bioinformatics (Oxford, England)
|
October 21, 2010
VEGA: variational segmentation for copy number detection
Sandro Morganella, Luigi Cerulo, Giuseppe Viglietto, et al.
Briefings in Bioinformatics
|
December 6, 2020
A review of COVID-19 biomarkers and drug targets: resources and tools
Francesca P Caruso, Giovanni Scala, Luigi Cerulo, et al.
Plos Computational Biology
|
November 11, 2020
Deep learning predicts short non-coding RNA functions from only raw sequence data
Teresa Maria Rosaria Noviello, Francesco Ceccarelli, Michele Ceccarelli, et al.
Bioinformatics (Oxford, England)
|
July 11, 2023
MOViDA: multiomics visible drug activity prediction with a biologically informed neural network model
Luigi Ferraro, Giovanni Scala, Luigi Cerulo, et al.
BMC Systems Biology
|
March 6, 2017
Detection of statistically significant network changes in complex biological networks
Raghvendra Mall, Luigi Cerulo, Halima Bensmail, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 35) with videos related to
Sort By:
Page
of 4
Entropy (Basel, Switzerland)
|
May 28, 2022
massiveGST: A Mann-Whitney-Wilcoxon Gene-Set Test Tool That Gives Meaning to Gene-Set Enrichment Analysis
Luigi Cerulo, Stefano Maria Pagnotta
BMC Bioinformatics
|
May 7, 2010
Learning gene regulatory networks from only positive and unlabeled data
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
Methods (San Diego, Calif.)
|
June 25, 2014
De novo reconstruction of gene regulatory networks from time series data, an approach based on formal methods
Michele Ceccarelli, Luigi Cerulo, Antonella Santone
BMC Bioinformatics
|
February 2, 2013
A negative selection heuristic to predict new transcriptional targets
Luigi Cerulo, Vincenzo Paduano, Pietro Zoppoli, et al.
Frontiers in Bioinformatics
|
June 5, 2026
Decoding exonic intron retention from sequence: an exploratory study in the human genome
Luca Faretra, Francesco Napolitano, Massimo Pancione, et al.
Bioinformatics (Oxford, England)
|
October 21, 2010
VEGA: variational segmentation for copy number detection
Sandro Morganella, Luigi Cerulo, Giuseppe Viglietto, et al.
Briefings in Bioinformatics
|
December 6, 2020
A review of COVID-19 biomarkers and drug targets: resources and tools
Francesca P Caruso, Giovanni Scala, Luigi Cerulo, et al.
Plos Computational Biology
|
November 11, 2020
Deep learning predicts short non-coding RNA functions from only raw sequence data
Teresa Maria Rosaria Noviello, Francesco Ceccarelli, Michele Ceccarelli, et al.
Bioinformatics (Oxford, England)
|
July 11, 2023
MOViDA: multiomics visible drug activity prediction with a biologically informed neural network model
Luigi Ferraro, Giovanni Scala, Luigi Cerulo, et al.
BMC Systems Biology
|
March 6, 2017
Detection of statistically significant network changes in complex biological networks
Raghvendra Mall, Luigi Cerulo, Halima Bensmail, et al.
Page
of 4