RE.PUBLIC@POLIMI pubblicazioni di ricerca del Politecnico di Milano

CASCIANELLI, SILVIA
 Distribuzione geografica
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Continente #
NA - Nord America 1.379
AS - Asia 1.335
EU - Europa 1.194
SA - Sud America 272
AF - Africa 74
OC - Oceania 4
Continente sconosciuto - Info sul continente non disponibili 1
Totale 4.259
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Nazione #
US - Stati Uniti d'America 1.320
RU - Federazione Russa 469
SG - Singapore 396
IT - Italia 365
CN - Cina 334
BR - Brasile 220
VN - Vietnam 165
KR - Corea 102
HK - Hong Kong 96
GB - Regno Unito 70
JP - Giappone 70
DE - Germania 61
IN - India 60
FR - Francia 58
CA - Canada 45
MA - Marocco 39
NL - Olanda 31
FI - Finlandia 30
BD - Bangladesh 25
AR - Argentina 18
ES - Italia 17
ID - Indonesia 17
IE - Irlanda 16
CH - Svizzera 11
AT - Austria 10
CI - Costa d'Avorio 10
RS - Serbia 10
SE - Svezia 10
TR - Turchia 10
CO - Colombia 9
JO - Giordania 9
ZA - Sudafrica 9
IR - Iran 7
MX - Messico 7
PL - Polonia 7
EC - Ecuador 6
IQ - Iraq 6
PK - Pakistan 6
UA - Ucraina 6
UY - Uruguay 6
PH - Filippine 5
PY - Paraguay 5
AU - Australia 4
BE - Belgio 4
EG - Egitto 4
LV - Lettonia 4
TH - Thailandia 4
CR - Costa Rica 3
CZ - Repubblica Ceca 3
MY - Malesia 3
PE - Perù 3
QA - Qatar 3
VE - Venezuela 3
AE - Emirati Arabi Uniti 2
AZ - Azerbaigian 2
BJ - Benin 2
CL - Cile 2
DZ - Algeria 2
HR - Croazia 2
KE - Kenya 2
LT - Lituania 2
NG - Nigeria 2
NP - Nepal 2
SA - Arabia Saudita 2
AL - Albania 1
AO - Angola 1
BA - Bosnia-Erzegovina 1
DO - Repubblica Dominicana 1
GT - Guatemala 1
HU - Ungheria 1
IL - Israele 1
KH - Cambogia 1
KW - Kuwait 1
LA - Repubblica Popolare Democratica del Laos 1
LK - Sri Lanka 1
ME - Montenegro 1
MK - Macedonia 1
MM - Myanmar 1
MN - Mongolia 1
NI - Nicaragua 1
NO - Norvegia 1
PR - Porto Rico 1
RO - Romania 1
SK - Slovacchia (Repubblica Slovacca) 1
SN - Senegal 1
TG - Togo 1
TN - Tunisia 1
TW - Taiwan 1
UZ - Uzbekistan 1
XK - ???statistics.table.value.countryCode.XK??? 1
Totale 4.259
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Città #
Ashburn 239
Singapore 236
Santa Clara 155
San Jose 150
Milan 139
Hefei 112
Seoul 99
Hong Kong 81
Dallas 71
Tokyo 68
Los Angeles 60
Council Bluffs 57
Moscow 56
Ho Chi Minh City 46
Hanoi 42
Chandler 41
Boardman 35
London 35
Beijing 31
New York 31
Kenitra 30
Lauterbourg 30
North Charleston 27
Ottawa 26
Kent 22
São Paulo 20
The Dalles 19
Frankfurt am Main 18
Amsterdam 17
Dublin 16
Fairfield 16
Dong Ket 14
Buffalo 13
Helsinki 13
Las Vegas 13
Chennai 12
Cambridge 11
Jakarta 11
Rome 11
Abidjan 10
Belgrade 10
Chicago 10
Falkenstein 10
Amman 9
Boydton 9
Brescia 9
Bresso 9
Brooklyn 9
Frisco 9
Lawrence 9
Redmond 9
Redondo Beach 9
San Francisco 9
Seattle 9
Valle 9
Casablanca 8
Coventry 8
Houston 8
Montreal 8
Turku 8
Bergamo 7
Castel Bolognese 7
Düsseldorf 7
Lappeenranta 7
Málaga 7
Orem 7
Saronno 7
Vienna 7
Belo Horizonte 6
Dhaka 6
Santiago de Cali 6
Woodbridge 6
Bologna 5
Da Nang 5
Lecco 5
Niederhünigen 5
Padova 5
Porto Alegre 5
Rio de Janeiro 5
Turin 5
Curitiba 4
Mauá 4
Medford 4
Munich 4
Nuremberg 4
Palermo 4
Princeton 4
Riga 4
San Diego 4
Shanghai 4
Stockholm 4
Tehran 4
Warsaw 4
Washington 4
Wilmington 4
Acerra 3
Ankara 3
Arapiraca 3
Atlanta 3
Baghdad 3
Totale 2.506
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Nome #
Biologically-driven feature selection for improved functional interpretability of gene expression data analysis 242
Comparing classic, deep and semi-supervised learning for whole-transcriptome breast cancer subtyping 214
Investigating Deep Learning based Breast Cancer Subtyping using Pan-cancer and Multi-omic Data 187
Adapting feature selection in gene expression-based classification for higher biological interpretability 174
Benchmark Study on Supervised Relevance-Redundancy Assessment for Feature Selection in Genomic Data 170
A data science approach to investigate the mutational landscape of a critical patient subgroup 164
Machine learning to discover genes predictive of RAS-mutated cases in mutational profiles of colorectal cancer patients. 164
Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping 159
Non-negative Matrix Tri-Factorization for data integration and knowledge inference on breast cancer subtyping 158
Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity 153
Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer 153
Investigating transcript isoform RNA-seq data and machine learning techniques for breast cancer subtyping 150
Gene co-expression network analysis for identifying cell populations in RNA-seq patient-derived xenografts 148
Hybrid evolutionary framework for selection of genes predicting breast cancer relapse 146
Supervised Relevance-Redundancy assessments for feature selection in omics-based classification scenarios 143
Biologically weighted LASSO: enhancing functional interpretability in gene expression data analysis 142
Enhancing feature selection with biological insights: a novel forward approach for gene selection 130
Boosting perspectives for breast cancer intrinsic subtyping on RNA-sequencing data 127
Gene expression-based multi-label classification to face colorectal cancer heterogeneity and provide biologically and clinically relevant traits 127
Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19-Related Studies 125
RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor 123
Machine learning for multi-label subtyping: a key to dissecting intra-tumor heterogeneity at the bulk sample level 122
Identification of transcription factor high accumulation DNA zones 121
Statistical and machine learning methods to investigate mutations in RAS-mutated colorectal cancer patients 118
Multi-label transcriptional classification of colorectal cancer reflects tumour cell population heterogeneity 110
Multi-label transcriptional classification of colorectal cancer reflects tumour cell population heterogeneity 109
Semi-Supervised Learning 84
Performance Measures for Multi-Class Classification 81
Supervised Learning: Multi-Label Classification 75
Dissecting interactome-driven subtypes of Colorectal Cancer 50
Biological and Medical Ontologies: Introduction 43
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification 19
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification 14
Inferring Breast Cancer Subtype Associations Using an Original Omics Integration Based on Non-negative Matrix Tri-Factorization 13
Conformal prediction in breast cancer subtype identification 10
Biological and Medical Ontologies: GO and GOA 9
Integrative Bioinformatics 9
Three-Stage Data Science Methodology to Explore Genetic Heterogeneity of Diseases 8
Enhancing Functional Interpretability in Gene Expression Analysis Through Biologically-Guided Feature Selection 8
Nuova metodica per la classificazione molecolare dei tumori umani con valore predittivo e prognostico 8
Machine Learning in Oncogenomics: A Key to Dissecting Cancer Inner Heterogeneity 7
Forward and Backward Feature Selection Guided by Prior Biological Knowledge for Enhanced Interpretability 7
Totale 4.324
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Categoria #
all - tutte 10.940
article - articoli 3.150
book - libri 0
conference - conferenze 5.804
curatela - curatele 0
other - altro 0
patent - brevetti 27
selected - selezionate 0
volume - volumi 1.959
Totale 21.880
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202117 0 0 0 0 0 0 0 0 0 0 0 17
2021/2022129 7 15 7 4 13 10 16 7 26 3 12 9
2022/2023163 11 9 8 3 41 19 1 14 18 15 12 12
2023/2024305 13 24 39 22 19 23 15 46 10 40 21 33
2024/2025792 13 21 31 18 156 69 35 53 107 45 103 141
2025/20262.842 404 473 200 279 133 135 467 132 206 244 95 74
Totale 4.324