| Nome |
# |
|
null, file 443eeb7f-1a85-45ba-9b87-816e6a992b2c
|
52
|
|
Scalable deep learning for healthcare: Methods and applications, file 1948e210-3b5a-41d4-8a3d-40b455d65d5b
|
32
|
|
Identifying prognostic markers for multiple myeloma through integration and analysis of MMRF-CoMMpass data, file de164cb4-718d-6b31-e053-1705fe0a395c
|
22
|
|
Scoliosis management through apps, file 644c0b55-3a6d-49d3-8a8b-30628f3b5b7a
|
18
|
|
An efficient and scalable spark preprocessing methodology for genome wide association studies, file de164cb4-79f5-6b31-e053-1705fe0a395c
|
18
|
|
An Italian lexicon-based sentiment analysis approach for medical applications, file c3eec391-3ad9-400e-adb2-a831cd46a87b
|
14
|
|
BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways, file de164cb4-34f5-6b31-e053-1705fe0a395c
|
12
|
|
A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts, file de164cb4-77f4-6b31-e053-1705fe0a395c
|
10
|
|
Resting-State EEG Classification for PNES Diagnosis, file 83f44778-da60-483d-bd89-1a698d0b0f96
|
6
|
|
Artificial intelligence in bioinformatics: from omics analysis to deep learning and network mining, file ba2c765b-a8fc-40a4-9d0f-aa13628884c3
|
4
|
|
A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies, file c7376f26-716c-4e62-a482-99dbc039c0cd
|
4
|
|
A peroxisome proliferator-activated receptor gamma (PPARG) polymorphism is associated with zoledronic acid-related osteonecrosis of the jaw in multiple myeloma patients: analysis by DMET microarray profiling, file de164cb3-ca3a-6b31-e053-1705fe0a395c
|
4
|
|
Risk Alleles for Multiple Myeloma Susceptibility in ADME Genes, file de164cb4-77ba-6b31-e053-1705fe0a395c
|
4
|
|
Sentiment analysis and text mining of questionnaires to support telemonitoring programs, file de164cb4-79f4-6b31-e053-1705fe0a395c
|
4
|
|
Evolving phenotypes of non-hospitalized patients that indicate long COVID, file de164cb4-7a9b-6b31-e053-1705fe0a395c
|
4
|
|
Machine Learning Approaches in Inflammatory Bowel Disease, file ef21914f-c47e-48d7-8473-df387cf1f041
|
4
|
|
Application of CCTV Methodology to Analyze COVID-19 Evolution in Italy, file 22083cef-db59-4a58-816a-53186d826eaf
|
3
|
|
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality, file 38696301-3f39-47da-8489-560a792ce496
|
3
|
|
null, file 800397f2-4d52-4a4f-a465-8ebf796086b5
|
3
|
|
Challenges and Limitations of Biological Network Analysis, file af5f2060-43af-408a-b2fa-094ebabd76e1
|
3
|
|
An innovative framework for bioimages annotation and studies, file de164cb3-c208-6b31-e053-1705fe0a395c
|
3
|
|
SL-GLAlign: improving local alignment of biological networks through simulated annealing, file de164cb4-2533-6b31-e053-1705fe0a395c
|
3
|
|
Sentiment analysis of medical questionnaires to improve adherence to telemonitoring programs, file de164cb4-7980-6b31-e053-1705fe0a395c
|
3
|
|
Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data, file de164cb4-7af1-6b31-e053-1705fe0a395c
|
3
|
|
Network alignment and motif discovery in dynamic networks, file 01cef6bf-e53c-4095-bd2d-5cec6bd392c7
|
2
|
|
An Extensive Assessment of Network Embedding in PPI Network Alignment, file 6327cc84-f234-4a79-a368-4d07d2f840e7
|
2
|
|
In Vivo Activity of MiR-34a Mimics Delivered by Stable Nucleic Acid Lipid Particles (SNALPs) against Multiple Myeloma, file de164cb3-bf0b-6b31-e053-1705fe0a395c
|
2
|
|
Using Ontologies for Preprocessing and Mining Spectra Data on the Grid, file de164cb3-d142-6b31-e053-1705fe0a395c
|
2
|
|
Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations., file de164cb3-dcee-6b31-e053-1705fe0a395c
|
2
|
|
Whole gene expression profiling shows a differential transcriptional response to CISPLATINUM in BRCA-1 defective versus BRCA1-reconstituted breast cancer cells, file de164cb3-e937-6b31-e053-1705fe0a395c
|
2
|
|
Bioinformatics helping to mitigate the impact of COVID-19-Editorial, file de164cb4-718f-6b31-e053-1705fe0a395c
|
2
|
|
Parallel Network Analysis and Communities Detection (PANC) Pipeline for the Analysis and Visualization of COVID-19 Data, file de164cb4-7352-6b31-e053-1705fe0a395c
|
2
|
|
A novel network-based methodology for analysis of COVID-19 data, file de164cb4-746a-6b31-e053-1705fe0a395c
|
2
|
|
Using MMRFBiolinks R-Package for Discovering Prognostic Markers in Multiple Myeloma, file de164cb4-75e5-6b31-e053-1705fe0a395c
|
2
|
|
Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data, file de164cb4-769d-6b31-e053-1705fe0a395c
|
2
|
|
Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks, file 5ba6aa66-f7af-4720-8324-91c05f38eeb5
|
1
|
|
A Prognostic and Carboplatin Response Predictive Model in Ovarian Cancer: A Mono-Institutional Retrospective Study Based on Clinics and Pharmacogenomics, file ac957746-229a-44ae-9702-462d0bbad54a
|
1
|
|
Early detection of voice diseases via a web-based system., file de164cb3-ba5a-6b31-e053-1705fe0a395c
|
1
|
|
Automatic summarisation and annotation of microarray data, file de164cb3-bb39-6b31-e053-1705fe0a395c
|
1
|
|
Analysis of miRNA, mRNA, and TF interactions through network-based methods, file de164cb3-bdbe-6b31-e053-1705fe0a395c
|
1
|
|
Fourth international workshop on high-performance bioinformatics and biomedicine (HiBB 2013), file de164cb3-c26c-6b31-e053-1705fe0a395c
|
1
|
|
A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease, file de164cb3-c6a9-6b31-e053-1705fe0a395c
|
1
|
|
A proteomics approach to identify changes in protein profiles in serum of Familial Adenomatous Polyposis patients, file de164cb3-cd3c-6b31-e053-1705fe0a395c
|
1
|
|
SIGMCC: A system for sharing meta patient records in a Peer-to-Peer environment, file de164cb3-ceca-6b31-e053-1705fe0a395c
|
1
|
|
Using multiple network alignment for studying connectomes, file de164cb3-d2d0-6b31-e053-1705fe0a395c
|
1
|
|
Methodologies and experimental platforms for generating and analysing microarray and mass
spectrometry-based omics data to support P4 medicine, file de164cb3-d347-6b31-e053-1705fe0a395c
|
1
|
|
Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations., file de164cb3-d3ca-6b31-e053-1705fe0a395c
|
1
|
|
Sharing mass spectrometry data in a grid-based distributed proteomics laboratory, file de164cb3-d469-6b31-e053-1705fe0a395c
|
1
|
|
Early detection of voice diseases via a web-based system., file de164cb3-db9a-6b31-e053-1705fe0a395c
|
1
|
|
DMET™ (Drug Metabolism Enzymes and Transporters): a
pharmacogenomic platform for precision medicine, file de164cb3-dc0b-6b31-e053-1705fe0a395c
|
1
|
|
Single nucleotide polymorphisms of ABCC5 and ABCG1 transporter genes correlate to irinotecan-associated gastrointestinal toxicity in colorectal cancer patients: a DMET microarray profiling study, file de164cb3-de3f-6b31-e053-1705fe0a395c
|
1
|
|
OvAge: a new methodology to quantify ovarian reserve combining clinical, biochemical and 3D-ultrasonographic parameters, file de164cb3-df29-6b31-e053-1705fe0a395c
|
1
|
|
Polymorphic variants in NR1I3 and UGT2B7 predict taxane neurotoxicity and have prognostic relevance in breast cancer patients: a case-control study., file de164cb3-df30-6b31-e053-1705fe0a395c
|
1
|
|
In Vivo Activity of MiR-34a Mimics Delivered by Stable Nucleic Acid Lipid Particles (SNALPs) against Multiple Myeloma, file de164cb3-e09a-6b31-e053-1705fe0a395c
|
1
|
|
Identification of polymorphic variants associated with
erlotinib-related skin toxicity in advanced non-small cell lung cancer patients
by DMET microarray analysis, file de164cb3-e141-6b31-e053-1705fe0a395c
|
1
|
|
null, file de164cb3-e7c0-6b31-e053-1705fe0a395c
|
1
|
|
Proteus, a Grid based Problem Solving Environment for Bioinformatics: Architecture and Experiments, file de164cb3-e9a3-6b31-e053-1705fe0a395c
|
1
|
|
On the preprocessing of mass spectrometry proteomics data, file de164cb3-eab1-6b31-e053-1705fe0a395c
|
1
|
|
Statistical and Network-Based Analysis of Italian COVID-19 Data: Communities Detection and Temporal Evolution, file de164cb4-2736-6b31-e053-1705fe0a395c
|
1
|
|
Sentiment analysis for mining texts and social networks data: Methods and tools, file de164cb4-2a08-6b31-e053-1705fe0a395c
|
1
|
|
L-HetnetAligner: A novel algorithm for Local Alignment of Heterogeneous Biological networks, file de164cb4-2a44-6b31-e053-1705fe0a395c
|
1
|
|
Network building and analysis in connectomics studies: a review of algorithms, databases and technologies, file de164cb4-507f-6b31-e053-1705fe0a395c
|
1
|
|
Parallel and distributed association rule mining in life science: A novel parallel algorithm to mine genomics data, file de164cb4-7189-6b31-e053-1705fe0a395c
|
1
|
|
A New Parallel Methodology for the Network Analysis of COVID-19 Data, file de164cb4-729c-6b31-e053-1705fe0a395c
|
1
|
|
A software pipeline for pre-processing and mining EEG signals: Application in neurology, file de164cb4-747b-6b31-e053-1705fe0a395c
|
1
|
|
cPEA: a parallel method to perform pathway enrichment analysis using multiple pathways databases, file de164cb4-760b-6b31-e053-1705fe0a395c
|
1
|
|
DmetTM genotyping: Tools for biomarkers discovery in the era of precision medicine, file de164cb4-7703-6b31-e053-1705fe0a395c
|
1
|
|
snpStorage: A database to store and share experimental SNPs data sets, file de164cb4-7982-6b31-e053-1705fe0a395c
|
1
|
|
Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19, file de164cb4-79f1-6b31-e053-1705fe0a395c
|
1
|
|
COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data, file de164cb4-7a6f-6b31-e053-1705fe0a395c
|
1
|
|
COVID-warehouse: A data warehouse of Italian COVID-19, pollution, and climate data, file de164cb4-7a71-6b31-e053-1705fe0a395c
|
1
|
|
A parallel software pipeline to select relevant genes for pathway enrichment, file fd6af006-4d1d-4517-8f74-73aa437d8f89
|
1
|
| Totale |
295 |