Chierici, Marco
 Distribuzione geografica
Continente #
EU - Europa 3.529
NA - Nord America 2.368
AS - Asia 1.593
SA - Sud America 461
AF - Africa 46
Continente sconosciuto - Info sul continente non disponibili 7
OC - Oceania 6
Totale 8.010
Nazione #
US - Stati Uniti d'America 2.299
RU - Federazione Russa 2.157
SG - Singapore 578
BR - Brasile 374
IT - Italia 359
CN - Cina 337
DE - Germania 272
VN - Vietnam 236
HK - Hong Kong 196
FI - Finlandia 129
FR - Francia 99
UA - Ucraina 98
GB - Regno Unito 89
SE - Svezia 85
NL - Olanda 64
IN - India 59
IE - Irlanda 46
CA - Canada 37
JP - Giappone 37
AR - Argentina 35
ES - Italia 32
BD - Bangladesh 27
BE - Belgio 25
MX - Messico 24
PL - Polonia 21
TR - Turchia 21
ZA - Sudafrica 20
ID - Indonesia 14
IL - Israele 14
EC - Ecuador 13
IQ - Iraq 13
CH - Svizzera 12
CZ - Repubblica Ceca 11
CL - Cile 9
MA - Marocco 8
VE - Venezuela 8
EU - Europa 7
PH - Filippine 7
AT - Austria 6
CO - Colombia 6
PY - Paraguay 6
SA - Arabia Saudita 6
UZ - Uzbekistan 6
AE - Emirati Arabi Uniti 5
EG - Egitto 5
KR - Corea 5
AU - Australia 4
JO - Giordania 4
LU - Lussemburgo 4
PE - Perù 4
TN - Tunisia 4
BH - Bahrain 3
BO - Bolivia 3
KE - Kenya 3
KZ - Kazakistan 3
LT - Lituania 3
PK - Pakistan 3
PT - Portogallo 3
SI - Slovenia 3
UY - Uruguay 3
AL - Albania 2
GE - Georgia 2
IR - Iran 2
MY - Malesia 2
NG - Nigeria 2
PA - Panama 2
QA - Qatar 2
SK - Slovacchia (Repubblica Slovacca) 2
TW - Taiwan 2
AM - Armenia 1
AZ - Azerbaigian 1
BG - Bulgaria 1
BM - Bermuda 1
BN - Brunei Darussalam 1
BW - Botswana 1
BY - Bielorussia 1
CR - Costa Rica 1
CY - Cipro 1
DO - Repubblica Dominicana 1
DZ - Algeria 1
EE - Estonia 1
ET - Etiopia 1
GR - Grecia 1
HN - Honduras 1
HR - Croazia 1
HU - Ungheria 1
KH - Cambogia 1
LK - Sri Lanka 1
LV - Lettonia 1
NP - Nepal 1
NZ - Nuova Zelanda 1
OM - Oman 1
PS - Palestinian Territory 1
SN - Senegal 1
SV - El Salvador 1
TT - Trinidad e Tobago 1
TV - Tuvalu 1
Totale 8.010
Città #
Singapore 329
San Jose 315
Chandler 312
Jacksonville 196
Ashburn 190
Hong Kong 189
Moscow 114
Beijing 93
Helsinki 85
Boardman 83
The Dalles 77
Trento 77
Ann Arbor 70
Hanoi 57
Ho Chi Minh City 55
Dallas 52
Los Angeles 50
Hefei 48
New York 46
Dublin 44
Lauterbourg 44
Brooklyn 43
Munich 42
Wilmington 42
Kronberg 39
Shanghai 36
Assago 34
Santa Clara 34
São Paulo 34
Tokyo 34
Dearborn 32
Dong Ket 30
Amsterdam 24
Brussels 24
Turku 23
Frankfurt am Main 20
Guangzhou 18
Warsaw 17
Johannesburg 16
Denver 15
Stockholm 15
Phoenix 14
Woodbridge 14
London 13
Orem 13
Turin 13
Atlanta 12
Belo Horizonte 12
Berlin 12
Falkenstein 12
Fremont 12
Milan 12
Poplar 12
Rio de Janeiro 12
Verona 12
Montreal 11
Naples 11
Redwood City 11
Toronto 11
Haiphong 10
Houston 10
Porto Alegre 10
Ankara 9
Boston 9
Da Nang 9
Manchester 9
Paese 9
Pune 9
Bristol 7
Chicago 7
Council Bluffs 7
Isera 7
Mexico City 7
Pergine Valsugana 7
Querétaro 7
Tianjin 7
Chennai 6
Goiânia 6
Miami 6
Napoli 6
Norwalk 6
Nuremberg 6
Olomouc 6
Portland 6
Ribeirão Preto 6
Rome 6
Seattle 6
Strasbourg 6
Stuttgart 6
Tashkent 6
Calgary 5
Columbus 5
Dhaka 5
Geneva 5
Genoa 5
Monza 5
Padova 5
Redmond 5
San Francisco 5
Santiago 5
Totale 3.591
Nome #
omicsCNN: a general deep learning framework for omics data modeling and classification 395
Predictability of drug-induced liver injury by machine learning 253
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural killer cells predict favorable clinical outcome of neuroblastoma 212
A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders 209
Integrating deep and radiomics features in cancer bioimaging 208
A promoter-level mammalian expression atlas 204
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER 204
Phylogenetic convolutional neural networks in metagenomics 204
Multi-omics integration for neuroblastoma clinical endpoint prediction 203
A comprehensive assessment of RNA-Seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium 201
A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning 195
Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma 186
The concordance between RNA-Seq and microarray data depends on chemical treatment and transcript abundance 184
Machine learning models for predicting endocrine disruption potential of environmental chemicals 184
Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study 182
Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network 182
A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency 180
Assessing sources of inconsistencies in genotypes and their effects on genome-wide association studies with HapMap samples. 174
Machine Learning Applications in the Study of Parkinson’s Disease: A Systematic Review 174
Tumor-infiltrating T cells and PD-L1 expression in childhood malignant extracranial germ-cell tumors 171
Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging 170
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction 170
Batch Effects in the BRLMM Genotype Calling Algorithm Influence GWAS Results for the Affymetrix 500K Array. 169
Clinical relevance of tumor-infiltrating immune cells in neuroblastoma 168
An interactive effect of batch size and composition contributes to discordant results in GWAS with the CHIAMO genotyping algorithm. 166
Machine learning methods for predictive proteomics 165
Integrative Network Fusion: a multi-omics approach in molecular profiling 161
Assessment of variability in GWAS with CRLMM genotyping algorithm on WTCCC Coronary Artery Disease. 157
Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions 155
TOFwave: Reproducibility in Biomarker Discovery from time-of-flight Mass Spectrometry Data. 151
PD-L1 is a therapeutic target of the Bromodomain inhibitor JQ1 and, combined with HLA class I, a promising prognostic biomarker in neuroblastoma 150
Cyst segmentation on kidney tubules by means of U-Net deep-learning models 147
Fast algorithms for nonparametric population modeling of large data sets 144
Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study 139
Endoscopy-based IBD identification by a quantized deep learning pipeline 139
Differential roles of epigenetic changes and Foxp3 expression in regulatory T cell-specific transcriptional regulation 139
Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease 136
Focal adhesion kinase depletion reduces human hepatocellular carcinoma growth by repressing enhancer of zeste homolog 2 130
Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data 129
Identification of GALNT14 as a novel neuroblastoma predisposition gene 128
Monitoring perinatal gut microbiota in mouse models by mass spectrometry approaches: parental genetic background and breastfeeding effects 122
Variability in GWAS Analysis: the Impact of Genotype Calling Algorithm Inconsistencies. 119
Microbial community structure in vineyard soils across altitudinal gradients and in different seasons. 116
Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients’ non‐involved lung tissue 110
Prioritization of putatively detrimental variants in euploid miscarriages 94
Machine Learning Analysis Applied to Prediction of Early Progression Independent of Relapse Activity in Multiple Sclerosis Patients 91
Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics 91
Neuropsychological tests and machine learning: identifying predictors of MCI and dementia progression 88
Targeted proteomics and the presence of carotid plaques in subjects at low cardiovascular disease risk 77
Reply to Comments on the Article "Machine Learning Predicts Risk of Falls in Parkinson's Disease Patients in a Multicenter Observational Study" 67
Mapping B cells and the immune landscape of tertiary lymphoid structures reveals their clinical impact in neuroblastoma 54
Bottlenecks in advancing and applying multiomic data integration—common data resources as rate-limiting drivers—the high-impact use case of atherosclerotic cardiovascular disease 48
Totale 8.195
Categoria #
all - tutte 31.896
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 31.896


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021117 0 0 0 0 0 0 0 0 0 61 13 43
2021/2022323 17 19 7 77 6 1 16 36 34 9 44 57
2022/2023721 22 82 11 125 30 94 17 52 137 54 76 21
2023/2024533 48 15 55 20 28 31 18 50 24 120 7 117
2024/20251.619 8 33 154 42 35 45 44 120 578 189 232 139
2025/20264.014 147 195 248 371 190 168 528 1.717 272 178 0 0
Totale 8.195