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Le informazioni sulla didattica, sulla ricerca e sui compiti istituzionali riportate in questa pagina sono certificate dall'Ateneo; ulteriori informazioni, redatte a cura del docente, sono disponibili sulla pagina web personale e nel curriculum vitae indicati nella scheda.
Informazioni sul docente
DocenteMasseroli Marco
QualificaProfessore associato a tempo pieno
Dipartimento d'afferenzaDipartimento di Elettronica, Informazione e Bioingegneria
Settore Scientifico DisciplinareING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
Curriculum VitaeScarica il CV (259.38Kb - 27/07/2022)
OrcIDhttps://orcid.org/0000-0003-2574-1174

Contatti
Orario di ricevimento
DipartimentoPianoUfficioGiornoOrarioTelefonoFaxNote
Elettronica e Informazione ----MartedìDalle 14:45
Alle 16:15
02-2399-3553--La modalità d'interazione preferita è sempre l'e-mail, anche per concordare e prenotare gli incontri
E-mailmarco.masseroli@polimi.it
Pagina web redatta a cura del docentehttp://www.bioinformatics.polimi.it/masseroli/

Fonte dati: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2023 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
Adapting feature selection in gene expression-based classification for higher biological interpretability (Mostra >>)
Gene co-expression network analysis for identifying cell populations in RNA-seq patient-derived xenografts (Mostra >>)
Machine learning for multi-label subtyping: a key to dissecting intra-tumor heterogeneity at the bulk sample level (Mostra >>)
Contributo in Atti di convegno
Biologically-driven feature selection for improved functional interpretability of gene expression data analysis (Mostra >>)
Non-negative Matrix Tri-Factorization for data integration and knowledge inference on breast cancer subtyping (Mostra >>)
Articoli su riviste
Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity (Mostra >>)
Supervised Relevance-Redundancy assessments for feature selection in omics-based classification scenarios (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2022 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
Gene expression-based multi-label classification to face colorectal cancer heterogeneity and provide biologically and clinically relevant traits (Mostra >>)
Statistical and machine learning methods to investigate mutations in RAS-mutated colorectal cancer patients (Mostra >>)
Contributo in Atti di convegno
An integrated, scalable framework for identification and quantification of tandem duplications in DNA sequencing data (Mostra >>)
Machine learning to discover genes predictive of RAS-mutated cases in mutational profiles of colorectal cancer patients. (Mostra >>)
Articoli su riviste
Accurate and highly interpretable prediction of gene expression from histone modifications (Mostra >>)
Genomic data integration and user-defined sample-set extraction for population variant analysis (Mostra >>)
Identification, semantic annotation and comparison of combinations of functional elements in multiple biological conditions (Mostra >>)
Investigating Deep Learning based Breast Cancer Subtyping using Pan-cancer and Multi-omic Data (Mostra >>)
META-BASE: a Novel Architecture for Large-Scale Genomic Metadata Integration (Mostra >>)
Predicting Drug Synergism by Means of Non-Negative Matrix Tri-Factorization (Mostra >>)
RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2021 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
A novel computational framework for the identification of the TD-plus phenotype in high grade serous ovarian cancer (Mostra >>)
Investigating transcript isoform RNA-seq data and machine learning techniques for breast cancer subtyping (Mostra >>)
Articoli su riviste
A review on viral data sources and search systems for perspective mitigation of COVID-19 (Mostra >>)
Computational analysis of fused co-expression networks for the identification of candidate cancer gene biomarkers (Mostra >>)
Federated sharing and processing of genomic datasets for tertiary data analysis (Mostra >>)
Gene function finding through cross-organism ensemble learning (Mostra >>)
Predictive modeling of gene expression regulation (Mostra >>)
Supervised machine learning for the assessment of Chronic Kidney Disease advancement (Mostra >>)
The road towards data integration in human genomics: players, steps and interactions (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2020 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributi su volumi (Capitolo o Saggio)
Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping (Mostra >>)
Exposing and characterizing subpopulations of distinctly regulated genes by k-plane regression (Mostra >>)
Network modeling and analysis of normal and cancer gene expression data (Mostra >>)
Contributo in Atti di convegno
Boosting perspectives for breast cancer intrinsic subtyping on RNA-sequencing data (Mostra >>)
Hybrid evolutionary framework for selection of genes predicting breast cancer relapse (Mostra >>)
Articoli su riviste
Association rule mining to identify transcription factor interactions in genomic regions (Mostra >>)
Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer (Mostra >>)
Matrix Factorization-based Technique for Drug Repurposing Predictions (Mostra >>)
OpenGDC: Unifying, Modeling, Integrating Cancer Genomic Data and Clinical Metadata (Mostra >>)
SMfinder: Small molecules finder for metabolomics and lipidomics analysis (Mostra >>)
Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2019 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributi su volumi (Capitolo o Saggio)
Analysis of Gene Regulatory Networks Inferred from ChIP-seq Data (Mostra >>)
Biological and Medical Ontologies: Disease Ontology (DO) (Mostra >>)
Biological and Medical Ontologies: GO and GOA (Mostra >>)
Biological and Medical Ontologies: Human Phenotype Ontology (HPO) (Mostra >>)
Biological and Medical Ontologies: Integrative Bioinformatics (Mostra >>)
Biological and Medical Ontologies: Introduction (Mostra >>)
Biological and Medical Ontologies: PRotein Ontology (PRO) (Mostra >>)
Biological and Medical Ontologies: Systems Biology Ontology (SBO) (Mostra >>)
Contributo in Atti di convegno
Comparing classic, deep and semi-supervised learning for whole-transcriptome breast cancer subtyping (Mostra >>)
Computational analysis and comparison of gene networks from TCGA normal and cancer data (Mostra >>)
De novo sequence-based method for ncRPI prediction using structural information (Mostra >>)
Drug Repositioning Predictions by Non-Negative Matrix Tri-Factorization of Integrated Association Data (Mostra >>)
Genomic big data management, modeling and computing (Mostra >>)
Network-based approach to identify new indications for existing drugs in the DrugBank database (Mostra >>)
Non-negative Matrix Tri-Factorization for Data Integration and Network-based Drug Repositioning (Mostra >>)
Using GMQL-web for querying, downloading and integrating public with private genomic datasets (Mostra >>)
Articoli su riviste
GenoSurf: metadata driven semantic search system for integrated genomic datasets (Mostra >>)
Processing of big heterogeneous genomic datasets for tertiary analysis of Next Generation Sequencing data (Mostra >>)
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27/09/2023