CASCIANELLI, SILVIA
CASCIANELLI, SILVIA
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
A data science approach to investigate the mutational landscape of a critical patient subgroup
2024-01-01 Cascianelli, Silvia; Iudica, Cristina; Masseroli, Marco
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification
2025-01-01 Cascianelli, S; Milojkovic, I; Masseroli, M.
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification
2025-01-01 Cascianelli, Silvia; Milojkovic, Iva; Masseroli, Marco
Adapting feature selection in gene expression-based classification for higher biological interpretability
2023-01-01 Mongardi, S.; Cascianelli, S.; Masseroli, M.
Benchmark Study on Supervised Relevance-Redundancy Assessment for Feature Selection in Genomic Data
2025-01-01 Tome', S; Cascianelli, S; Salvi, E; Masseroli, M
Biological and Medical Ontologies: GO and GOA
2025-01-01 Cascianelli, Silvia; Masseroli, Marco
Biological and Medical Ontologies: Introduction
2025-01-01 Cascianelli, Silvia; Masseroli, Marco
Biologically weighted LASSO: enhancing functional interpretability in gene expression data analysis
2024-01-01 Mongardi, Sofia; Cascianelli, Silvia; Masseroli, Marco
Biologically-driven feature selection for improved functional interpretability of gene expression data analysis
2023-01-01 Mongardi, S.; Cascianelli, S.; Masseroli, M.
Boosting perspectives for breast cancer intrinsic subtyping on RNA-sequencing data
2020-01-01 Cascianelli, S; Molineris, I; Isella, C; Masseroli, M; Medico, E
Comparing classic, deep and semi-supervised learning for whole-transcriptome breast cancer subtyping
2019-01-01 Cristovao, F; Canakoglu, A; Carman, M; Cascianelli, S; Nanni, L; Pinoli, P; Masseroli, M
Conformal prediction in breast cancer subtype identification
2025-01-01 Maldera, L; Masseroli, M; Cascianelli, S.
Dissecting interactome-driven subtypes of Colorectal Cancer
2025-01-01 Tome', S.; Airaghi, S.; Cascianelli, S.; Cassisa, A.; Masseroli, M.; Medico, E.; Isella, C.
Enhancing feature selection with biological insights: a novel forward approach for gene selection
2024-01-01 Mongardi, Sofia; Cascianelli, Silvia; Masseroli, Marco
Enhancing Functional Interpretability in Gene Expression Analysis Through Biologically-Guided Feature Selection
2025-01-01 Mongardi, Sofia; Cascianelli, Silvia; Masseroli, Marco
Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping
2020-01-01 Cascianelli, Silvia; Cristovao, Francisco; Canakoglu, Arif; Carman, Mark; Nanni, Luca; Pinoli, Pietro; Masseroli, Marco
Forward and Backward Feature Selection Guided by Prior Biological Knowledge for Enhanced Interpretability
2025-01-01 Mongardi, Sofia; Cascianelli, Silvia; Masseroli, Marco
Gene co-expression network analysis for identifying cell populations in RNA-seq patient-derived xenografts
2023-01-01 Tome', Simone; Cascianelli, Silvia; Medico, Enzo; Isella, Claudio; Masseroli, Marco.
Gene expression-based multi-label classification to face colorectal cancer heterogeneity and provide biologically and clinically relevant traits
2022-01-01 Barbera, C; Cascianelli, S; Ulla, Aa; Grassi, E; Lupo, B; Pasini, D; Bertotti, A; Trusolino, L; Medico, E; Isella, C; Masseroli, M
Hybrid evolutionary framework for selection of genes predicting breast cancer relapse
2020-01-01 Perino, L; Cascianelli, S; Masseroli, M