Daniele Pepe

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 10

Top Topics

Microarray Data

Predictive Control

Ventilating And Air Conditioning

Top Venues

J. Comput. Biol.

Publications

Daniele Pepe, Jin Hwan Do
Analyzing Apomorphine-Mediated Effects in a Cell Model for Parkinson's Disease with Partial Least Squares Structure Equation Modeling. J. Comput. Biol. 27 (8) (2020)
Gianni Bianchini, Daniele Pepe, Antonio Vicino
Estimation of photovoltaic generation forecasting models using limited information. Autom. 113 (2020)
Daniele Pepe, Gianni Bianchini, Antonio Vicino
Model Estimation for Solar Generation Forecasting using Cloud Cover Data. CoRR (2019)
Gianni Bianchini, Daniele Pepe, Antonio Vicino
Estimation of Photovoltaic Generation Forecasting Models using Limited Information. CoRR (2019)
Gianni Bianchini, Marco Casini, Daniele Pepe, Antonio Vicino, Giovanni Gino Zanvettor
An integrated model predictive control approach for optimal HVAC and energy storage operation in large-scale buildings. CoRR (2019)
Daniele Pepe, Kim De Keersmaecker
Analysis of Gene Expression Data of RPL10 Mutant T-Cell Leukemia by SEMsubPA. BIBM (2018)
Gianni Bianchini, Marco Casini, Daniele Pepe, Antonio Vicino, Giovanni Gino Zanvettor
An integrated MPC approach for demand-response heating and energy storage operation in smart buildings. CDC (2017)
Daniele Pepe, Jin Hwan Do
Comparison of Perturbed Pathways in Two Different Cell Models for Parkinson's Disease with Structural Equation Model. J. Comput. Biol. 23 (2) (2016)
Daniele Pepe
Module Detection Based on Significant Shortest Paths for the Characterization of Gene Expression Data. CIBB (2016)
Daniele Pepe, Tomasz Burzykowski
PLS-SEM Mediation Analysis of Gene-Expression Data for the Evaluation of a Drug Effect. CIBB (2016)
Daniele Pepe, Fernando Palluzzi, Mario Grassi
Sem Best Shortest Paths for the Characterization of Differentially Expressed Genes. CIBB (2014)
Daniele Pepe, Mario Grassi
Investigating perturbed pathway modules from gene expression data via structural equation models. BMC Bioinform. 15 (2014)