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

CASCIANELLI, SILVIA
 Distribuzione geografica
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Continente #
NA - Nord America 1.630
EU - Europa 1.352
AS - Asia 1.348
SA - Sud America 276
AF - Africa 74
Continente sconosciuto - Info sul continente non disponibili 67
OC - Oceania 4
Totale 4.751
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Nazione #
US - Stati Uniti d'America 1.549
IT - Italia 517
RU - Federazione Russa 469
SG - Singapore 397
CN - Cina 334
BR - Brasile 222
VN - Vietnam 173
KR - Corea 102
HK - Hong Kong 98
GB - Regno Unito 70
JP - Giappone 70
DE - Germania 61
IN - India 60
FR - Francia 58
CA - Canada 57
MA - Marocco 39
NL - Olanda 32
FI - Finlandia 30
BD - Bangladesh 25
AR - Argentina 18
ES - Italia 17
ID - Indonesia 17
IE - Irlanda 16
SE - Svezia 13
CH - Svizzera 11
AT - Austria 10
CI - Costa d'Avorio 10
CO - Colombia 10
RS - Serbia 10
TR - Turchia 10
JO - Giordania 9
ZA - Sudafrica 9
MX - Messico 8
IR - Iran 7
PL - Polonia 7
UY - Uruguay 7
EC - Ecuador 6
IQ - Iraq 6
PK - Pakistan 6
TH - Thailandia 6
UA - Ucraina 6
CR - Costa Rica 5
PH - Filippine 5
PY - Paraguay 5
AU - Australia 4
BE - Belgio 4
EG - Egitto 4
LV - Lettonia 4
CZ - Repubblica Ceca 3
JM - Giamaica 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
IS - Islanda 2
KE - Kenya 2
LT - Lituania 2
NG - Nigeria 2
NI - Nicaragua 2
NP - Nepal 2
SA - Arabia Saudita 2
AL - Albania 1
AO - Angola 1
BA - Bosnia-Erzegovina 1
BS - Bahamas 1
DO - Repubblica Dominicana 1
GD - Grenada 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
NO - Norvegia 1
PR - Porto Rico 1
RO - Romania 1
SK - Slovacchia (Repubblica Slovacca) 1
SN - Senegal 1
TG - Togo 1
TN - Tunisia 1
TT - Trinidad e Tobago 1
TW - Taiwan 1
UZ - Uzbekistan 1
XK - ???statistics.table.value.countryCode.XK??? 1
Totale 4.685
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Città #
Ashburn 259
Singapore 236
Milan 168
San Jose 159
Santa Clara 157
Hefei 112
Seoul 99
Council Bluffs 85
Hong Kong 82
Dallas 71
Tokyo 68
Los Angeles 67
Moscow 56
Ho Chi Minh City 48
Hanoi 46
Chandler 42
Boardman 35
London 35
New York 32
Beijing 31
Kenitra 30
Lauterbourg 30
North Charleston 29
Ottawa 26
Rome 26
Kent 22
São Paulo 20
The Dalles 19
Frankfurt am Main 18
Frisco 18
Amsterdam 17
Fairfield 17
Dublin 16
Buffalo 15
Las Vegas 15
Turin 15
Brooklyn 14
Dong Ket 14
Chicago 13
Helsinki 13
Chennai 12
Brescia 11
Cambridge 11
Jakarta 11
Abidjan 10
Belgrade 10
Falkenstein 10
Montreal 10
Amman 9
Bologna 9
Boydton 9
Bresso 9
Houston 9
Lawrence 9
Naples 9
Redmond 9
Redondo Beach 9
San Francisco 9
Seattle 9
Valle 9
Casablanca 8
Coventry 8
Turku 8
Bergamo 7
Castel Bolognese 7
Da Nang 7
Düsseldorf 7
Lappeenranta 7
Málaga 7
Orem 7
Saronno 7
Vienna 7
Bari 6
Belo Horizonte 6
Dhaka 6
Modena 6
Palermo 6
Philadelphia 6
Richmond 6
Santiago de Cali 6
Woodbridge 6
Denver 5
Lecco 5
Niederhünigen 5
Padova 5
Phoenix 5
Porto Alegre 5
Rio de Janeiro 5
San Diego 5
San José 5
Atlanta 4
Baltimore 4
Camden 4
Curitiba 4
Guarulhos 4
Manchester 4
Mauá 4
Medford 4
Montevideo 4
Munich 4
Totale 2.694
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Nome #
Biologically-driven feature selection for improved functional interpretability of gene expression data analysis 258
Comparing classic, deep and semi-supervised learning for whole-transcriptome breast cancer subtyping 224
Investigating Deep Learning based Breast Cancer Subtyping using Pan-cancer and Multi-omic Data 196
Adapting feature selection in gene expression-based classification for higher biological interpretability 182
Benchmark Study on Supervised Relevance-Redundancy Assessment for Feature Selection in Genomic Data 181
A data science approach to investigate the mutational landscape of a critical patient subgroup 175
Machine learning to discover genes predictive of RAS-mutated cases in mutational profiles of colorectal cancer patients. 173
Non-negative Matrix Tri-Factorization for data integration and knowledge inference on breast cancer subtyping 170
Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping 167
Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer 166
Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity 165
Biologically weighted LASSO: enhancing functional interpretability in gene expression data analysis 156
Gene co-expression network analysis for identifying cell populations in RNA-seq patient-derived xenografts 156
Investigating transcript isoform RNA-seq data and machine learning techniques for breast cancer subtyping 155
Hybrid evolutionary framework for selection of genes predicting breast cancer relapse 154
Supervised Relevance-Redundancy assessments for feature selection in omics-based classification scenarios 149
Machine learning for multi-label subtyping: a key to dissecting intra-tumor heterogeneity at the bulk sample level 139
Enhancing feature selection with biological insights: a novel forward approach for gene selection 139
Boosting perspectives for breast cancer intrinsic subtyping on RNA-sequencing data 139
Gene expression-based multi-label classification to face colorectal cancer heterogeneity and provide biologically and clinically relevant traits 138
Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19-Related Studies 133
Statistical and machine learning methods to investigate mutations in RAS-mutated colorectal cancer patients 129
RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor 129
Identification of transcription factor high accumulation DNA zones 125
Multi-label transcriptional classification of colorectal cancer reflects tumour cell population heterogeneity 116
Multi-label transcriptional classification of colorectal cancer reflects tumour cell population heterogeneity 115
Semi-Supervised Learning 97
Performance Measures for Multi-Class Classification 91
Supervised Learning: Multi-Label Classification 84
Biological and Medical Ontologies: Introduction 58
Dissecting interactome-driven subtypes of Colorectal Cancer 57
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification 34
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification 31
Inferring Breast Cancer Subtype Associations Using an Original Omics Integration Based on Non-negative Matrix Tri-Factorization 23
Biological and Medical Ontologies: GO and GOA 23
Machine Learning in Oncogenomics: A Key to Dissecting Cancer Inner Heterogeneity 21
Forward and Backward Feature Selection Guided by Prior Biological Knowledge for Enhanced Interpretability 20
Integrative Bioinformatics 18
Conformal prediction in breast cancer subtype identification 18
Three-Stage Data Science Methodology to Explore Genetic Heterogeneity of Diseases 16
Enhancing Functional Interpretability in Gene Expression Analysis Through Biologically-Guided Feature Selection 13
Nuova metodica per la classificazione molecolare dei tumori umani con valore predittivo e prognostico 12
Novel nested conformal prediction analysis to unravel complexity in patient subtyping 6
Totale 4.751
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Categoria #
all - tutte 11.978
article - articoli 3.370
book - libri 0
conference - conferenze 6.248
curatela - curatele 0
other - altro 0
patent - brevetti 41
selected - selezionate 0
volume - volumi 2.319
Totale 23.956
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022122 0 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
2025/20263.006 404 473 200 279 133 135 467 132 206 244 95 238
2026/2027263 176 87 0 0 0 0 0 0 0 0 0 0
Totale 4.751