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Methods in Molecular Biology (Clifton, N.J.)|March 4, 2020
Immunedeconv: An R Package for Unified Access to Computational Methods for Estimating Immune Cell Fractions from Bulk RNA-Sequencing DataGregor Sturm, Francesca Finotello, Markus List
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
EEG signal features extraction based on fractal dimensionFrancesca Finotello, Fabio Scarpa, Mattia Zanon
Methods in Enzymology|March 18, 2020
Deconvoluting tumor-infiltrating immune cells from RNA-seq data using quanTIseqChristina Plattner, Francesca Finotello, Dietmar Rieder
BMC Bioinformatics|April 20, 2019
A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progressionAlessandro Zandonà, Rosario Vasta, Adriano Chiò, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 24, 2011
SimBioNeT: a simulator of biological network topologyBarbara Di Camillo, Marco Falda, Gianna Toffolo, et al.
NAR Genomics and Bioinformatics|June 30, 2025
Differential cellular communication inference framework for large-scale single-cell RNA-sequencing dataGiulia Cesaro, Giacomo Baruzzo, Gaia Tussardi, et al.
Scientific Reports|May 20, 2024
A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult populationChiara Roversi, Erica Tavazzi, Martina Vettoretti, et al.
Plos One|September 24, 2010
A Boolean approach to linear prediction for signaling network modelingFederica Eduati, Alberto Corradin, Barbara Di Camillo, et al.
Bioinformatics (Oxford, England)|July 28, 2014
Compression and fast retrieval of SNP dataFrancesco Sambo, Barbara Di Camillo, Gianna Toffolo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement StudyMartina Vettoretti, Enrico Longato, Barbara Di Camillo, et al.
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