Daniele Pepe

According to our database, Daniele Pepe authored at least 11 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Analyzing Apomorphine-Mediated Effects in a Cell Model for Parkinson's Disease with Partial Least Squares Structure Equation Modeling.

Daniele Pepe, Jin Hwan Do

J. Comput. Biol., 2020

Estimation of photovoltaic generation forecasting models using limited information.

Gianni Bianchini, Daniele Pepe, Antonio Vicino

Autom., 2020

2019

An integrated model predictive control approach for optimal HVAC and energy storage operation in large-scale buildings.

Gianni Bianchini, Marco Casini, Daniele Pepe, Antonio Vicino, Giovanni Gino Zanvettor

CoRR, 2019

Model Estimation for Solar Generation Forecasting using Cloud Cover Data.

Daniele Pepe, Gianni Bianchini, Antonio Vicino

CoRR, 2019

2018

Analysis of Gene Expression Data of RPL10 Mutant T-Cell Leukemia by SEMsubPA.

Daniele Pepe, Kim De Keersmaecker

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

An integrated MPC approach for demand-response heating and energy storage operation in smart buildings.

Gianni Bianchini, Marco Casini, Daniele Pepe, Antonio Vicino, Giovanni Gino Zanvettor

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Comparison of Perturbed Pathways in Two Different Cell Models for Parkinson's Disease with Structural Equation Model.

Daniele Pepe, Jin Hwan Do

J. Comput. Biol., 2016

PLS-SEM Mediation Analysis of Gene-Expression Data for the Evaluation of a Drug Effect.

Daniele Pepe, Tomasz Burzykowski

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016

Module Detection Based on Significant Shortest Paths for the Characterization of Gene Expression Data.

Daniele Pepe

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016

2014

Investigating perturbed pathway modules from gene expression data via structural equation models.

Daniele Pepe, Mario Grassi

BMC Bioinform., 2014

Sem Best Shortest Paths for the Characterization of Differentially Expressed Genes.

Daniele Pepe, Fernando Palluzzi, Mario Grassi

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014