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

CASCIANELLI, SILVIA
 Distribuzione geografica
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Continente #
AS - Asia 1.297
NA - Nord America 1.269
EU - Europa 1.165
SA - Sud America 272
AF - Africa 74
OC - Oceania 4
Continente sconosciuto - Info sul continente non disponibili 1
Totale 4.082
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Nazione #
US - Stati Uniti d'America 1.213
RU - Federazione Russa 469
SG - Singapore 395
IT - Italia 338
CN - Cina 333
BR - Brasile 220
VN - Vietnam 165
KR - Corea 102
HK - Hong Kong 95
JP - Giappone 70
GB - Regno Unito 69
DE - Germania 61
FR - Francia 58
CA - Canada 44
MA - Marocco 39
IN - India 32
FI - Finlandia 30
NL - Olanda 30
AR - Argentina 18
BD - Bangladesh 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
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
CR - Costa Rica 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
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 4.082
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Città #
Singapore 235
Ashburn 222
Santa Clara 152
San Jose 146
Milan 129
Hefei 112
Seoul 99
Hong Kong 80
Dallas 70
Tokyo 68
Los Angeles 60
Moscow 56
Council Bluffs 52
Ho Chi Minh City 46
Hanoi 42
Chandler 41
London 34
Beijing 30
Kenitra 30
Lauterbourg 30
Boardman 27
North Charleston 27
Ottawa 26
Kent 22
São Paulo 20
New York 19
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
Abidjan 10
Belgrade 10
Chicago 10
Falkenstein 10
Amman 9
Boydton 9
Bresso 9
Redmond 9
Redondo Beach 9
Valle 9
Brescia 8
Brooklyn 8
Casablanca 8
Coventry 8
Houston 8
Lawrence 8
Rome 8
Seattle 8
Turku 8
Bergamo 7
Castel Bolognese 7
Düsseldorf 7
Lappeenranta 7
Montreal 7
Málaga 7
Orem 7
Saronno 7
Vienna 7
Belo Horizonte 6
Dhaka 6
San Francisco 6
Santiago de Cali 6
Woodbridge 6
Da Nang 5
Lecco 5
Niederhünigen 5
Padova 5
Porto Alegre 5
Rio de Janeiro 5
Turin 5
Bologna 4
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
Wilmington 4
Acerra 3
Ankara 3
Arapiraca 3
Atlanta 3
Baghdad 3
Barcelona 3
Basingstoke 3
Totale 2.423
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Nome #
Biologically-driven feature selection for improved functional interpretability of gene expression data analysis 235
Comparing classic, deep and semi-supervised learning for whole-transcriptome breast cancer subtyping 213
Investigating Deep Learning based Breast Cancer Subtyping using Pan-cancer and Multi-omic Data 184
Adapting feature selection in gene expression-based classification for higher biological interpretability 169
Benchmark Study on Supervised Relevance-Redundancy Assessment for Feature Selection in Genomic Data 164
Machine learning to discover genes predictive of RAS-mutated cases in mutational profiles of colorectal cancer patients. 163
A data science approach to investigate the mutational landscape of a critical patient subgroup 159
Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping 156
Non-negative Matrix Tri-Factorization for data integration and knowledge inference on breast cancer subtyping 151
Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity 148
Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer 148
Investigating transcript isoform RNA-seq data and machine learning techniques for breast cancer subtyping 148
Gene co-expression network analysis for identifying cell populations in RNA-seq patient-derived xenografts 145
Hybrid evolutionary framework for selection of genes predicting breast cancer relapse 142
Supervised Relevance-Redundancy assessments for feature selection in omics-based classification scenarios 136
Biologically weighted LASSO: enhancing functional interpretability in gene expression data analysis 135
Enhancing feature selection with biological insights: a novel forward approach for gene selection 126
Gene expression-based multi-label classification to face colorectal cancer heterogeneity and provide biologically and clinically relevant traits 126
Boosting perspectives for breast cancer intrinsic subtyping on RNA-sequencing data 125
Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19-Related Studies 123
Machine learning for multi-label subtyping: a key to dissecting intra-tumor heterogeneity at the bulk sample level 120
Identification of transcription factor high accumulation DNA zones 119
Statistical and machine learning methods to investigate mutations in RAS-mutated colorectal cancer patients 118
RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor 116
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 107
Semi-Supervised Learning 82
Performance Measures for Multi-Class Classification 76
Supervised Learning: Multi-Label Classification 73
Dissecting interactome-driven subtypes of Colorectal Cancer 39
Biological and Medical Ontologies: Introduction 12
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification 11
Inferring Breast Cancer Subtype Associations Using an Original Omics Integration Based on Non-negative Matrix Tri-Factorization 10
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification 10
Conformal prediction in breast cancer subtype identification 8
Three-Stage Data Science Methodology to Explore Genetic Heterogeneity of Diseases 7
Biological and Medical Ontologies: GO and GOA 7
Integrative Bioinformatics 7
Enhancing Functional Interpretability in Gene Expression Analysis Through Biologically-Guided Feature Selection 7
Machine Learning in Oncogenomics: A Key to Dissecting Cancer Inner Heterogeneity 6
Forward and Backward Feature Selection Guided by Prior Biological Knowledge for Enhanced Interpretability 5
Totale 4.146
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Categoria #
all - tutte 10.052
article - articoli 2.955
book - libri 0
conference - conferenze 5.434
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 1.663
Totale 20.104
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202134 0 0 0 0 0 0 0 0 0 6 11 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
2025/20262.664 404 473 200 279 133 135 467 132 206 235 0 0
Totale 4.146