| Nome |
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Combinatorial Discriminant Analysis Applied to RNAseq Data Reveals a Set of 10 Transcripts as Signatures of Exposure of Cattle to Mycobacterium avium subsp. paratuberculosis, file e1dcb335-2d60-7715-e053-1705fe0a6cc9
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427
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A meta-analysis on age-associated changes in blood DNA methylation: Results from an original analysis pipeline for Infinium 450k data, file e1dcb338-938f-7715-e053-1705fe0a6cc9
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382
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Aneuploid acute myeloid leukemia exhibits a signature of genomic alterations in the cell cycle and protein degradation machinery, file e1dcb332-1655-7715-e053-1705fe0a6cc9
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177
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Molecular Aging of Human Liver: An Epigenetic/Transcriptomic Signature, file e1dcb333-3296-7715-e053-1705fe0a6cc9
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169
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Application of different DNA extraction procedures, library preparation protocols and sequencing platforms: impact on sequencing results, file e1dcb333-722a-7715-e053-1705fe0a6cc9
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168
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Brain functional connectivity in sleep-related hypermotor epilepsy, file e1dcb330-bc0d-7715-e053-1705fe0a6cc9
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153
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Network integration of multi-tumour omics data suggests novel targeting strategies, file e1dcb331-b353-7715-e053-1705fe0a6cc9
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126
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Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota, file e1dcb336-7f2e-7715-e053-1705fe0a6cc9
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121
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Altered modulation of lamin A/C-HDAC2 interaction and p21 expression during oxidative stress response in HGPS, file e1dcb332-1be9-7715-e053-1705fe0a6cc9
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118
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Identification of miR-31-5p, miR-141-3p, miR-200c-3p, and GLT1 as human liver aging markers sensitive to donor-recipient age-mismatch in transplants, file e1dcb32f-073f-7715-e053-1705fe0a6cc9
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115
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Statistical modelling of CG interdistance across multiple organisms, file e1dcb332-96d8-7715-e053-1705fe0a6cc9
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105
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Are We Ready for the Arrival of the New COVID-19 Vaccinations? Great Promises and Unknown Challenges Still to Come, file e1dcb337-746d-7715-e053-1705fe0a6cc9
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100
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Identification of a T cell gene expression clock obtained by exploiting a MZ twin design., file e1dcb32f-dac1-7715-e053-1705fe0a6cc9
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98
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Stochastic neutral modelling of the Gut Microbiota's relative species abundance from next generation sequencing data, file e1dcb32d-fa7e-7715-e053-1705fe0a6cc9
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94
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Linking aberrant chromatin features in chronic lymphocytic leukemia to transcription factor networks, file e1dcb333-4599-7715-e053-1705fe0a6cc9
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84
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Gut microbiota ecology: Biodiversity estimated from hybrid neutral-niche model increases with health status and aging, file e1dcb335-ffab-7715-e053-1705fe0a6cc9
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79
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Pooled Genome-Wide Analysis to Identify Novel Risk Loci for Pediatric Allergic Asthma, file e1dcb332-b7f3-7715-e053-1705fe0a6cc9
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72
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Towards the authentication of European sea bass origin through a combination of biometric measurements and multiple analytical techniques, file e1dcb338-3cda-7715-e053-1705fe0a6cc9
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72
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Active degradation explains the distribution of nuclear proteins during cellular senescence, file e1dcb32c-f84c-7715-e053-1705fe0a6cc9
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70
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Optimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing data, file e1dcb32e-ec89-7715-e053-1705fe0a6cc9
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70
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Combinatorial Discriminant Analysis Applied to RNAseq Data Reveals a Set of 10 Transcripts as Signatures of Exposure of Cattle to Mycobacterium avium subsp. paratuberculosis, file e1dcb335-6b06-7715-e053-1705fe0a6cc9
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70
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Prediction of vascular aging based on smartphone acquired PPG signals, file e1dcb337-6e8d-7715-e053-1705fe0a6cc9
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70
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Impact of concurrency on the performance of a whole exome sequencing pipeline, file e1dcb337-2f56-7715-e053-1705fe0a6cc9
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69
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Merging 1D and 3D genomic information: Challenges in modelling and validation, file e1dcb335-358e-7715-e053-1705fe0a6cc9
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67
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Methods for the integration of multi-omics data: Mathematical aspects, file e1dcb32d-f7b5-7715-e053-1705fe0a6cc9
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65
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Quantifying the contribution of four resistance mechanisms to ciprofloxacin MIC in Escherichia coli: a systematic review, file e1dcb332-5495-7715-e053-1705fe0a6cc9
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65
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Towards the authentication of European sea bass origin through a combination of biometric measurements and multiple analytical techniques, file e1dcb338-4ef9-7715-e053-1705fe0a6cc9
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62
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Network Approach to Source Attribution of Salmonella enterica Serovar Typhimurium and Its Monophasic Variant, file e1dcb335-d3ff-7715-e053-1705fe0a6cc9
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60
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rFBP: Replicated Focusing Belief Propagation algorithm, file e1dcb337-9d67-7715-e053-1705fe0a6cc9
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58
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RUNX2 expression in thyroid and breast cancer requires the cooperation of three non-redundant enhancers under the control of BRD4 and c-JUN, file e1dcb330-4932-7715-e053-1705fe0a6cc9
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56
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Integrated Molecular Characterization of Gastrointestinal Stromal Tumors (GIST) Harboring the Rare D842V Mutation in PDGFRA Gene., file e1dcb330-b27a-7715-e053-1705fe0a6cc9
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56
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Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning, file e1dcb337-2aa8-7715-e053-1705fe0a6cc9
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56
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LifeTime and improving European healthcare through cell-based interceptive medicine, file e1dcb337-4ceb-7715-e053-1705fe0a6cc9
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56
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Characterization of DNA methylation as a function of biological complexity via dinucleotide inter-distances, file e1dcb338-35a8-7715-e053-1705fe0a6cc9
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56
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Systems medicine of inflammaging, file e1dcb338-5ba4-7715-e053-1705fe0a6cc9
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55
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Automated Prediction of the Response to Neoadjuvant Chemoradiotherapy in Patients Affected by Rectal Cancer, file cf9f18b6-6c42-410c-b713-49eccd71bf27
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53
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Circumventing the curse of dimensionality in magnetic resonance fingerprinting through a deep learning approach., file e1dcb339-da1a-7715-e053-1705fe0a6cc9
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52
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Systems Biology approaches to cancer: towards new therapeutical strategies and personalized approaches, file e1dcb335-b200-7715-e053-1705fe0a6cc9
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51
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Challenges in the use of artificial intelligence for prostate cancer diagnosis from multiparametric imaging data, file e1dcb338-9e01-7715-e053-1705fe0a6cc9
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51
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AC amplification gain in organic electrochemical transistors for impedance-based single cell sensors, file 755633ae-e01d-44d6-9d5f-d738a94815b7
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46
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Network measures for protein folding state discrimination, file e1dcb32e-b601-7715-e053-1705fe0a6cc9
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46
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Characterization and comparison of gene-centered human interactomes, file e1dcb339-0dbb-7715-e053-1705fe0a6cc9
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46
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A meta-analysis on age-associated changes in blood DNA methylation: Results from an original analysis pipeline for Infinium 450k data, file e1dcb338-31c5-7715-e053-1705fe0a6cc9
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45
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Network diffusion-based analysis of high-throughput data for the detection of differentially enriched modules, file e1dcb32e-b602-7715-e053-1705fe0a6cc9
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44
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Clusters of science and health related Twitter users become more isolated during the COVID-19 pandemic, file e1dcb338-406e-7715-e053-1705fe0a6cc9
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43
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Machine Learning Pipeline for the Automated Prediction of MicrovascularInvasion in HepatocellularCarcinomas, file 0af7197d-7663-4670-9891-ce8fa02d0f9d
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30
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Classification and Personalized Prognostic Assessment on the Basis of Clinical and Genomic Features in Myelodysplastic Syndromes, file e1dcb339-c22b-7715-e053-1705fe0a6cc9
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28
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Node centrality measures identify relevant structural MRI features of subjects with autism, file e1dcb338-bf19-7715-e053-1705fe0a6cc9
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25
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Network integration of multi-tumour omics data suggests novel targeting strategies, file e1dcb331-b354-7715-e053-1705fe0a6cc9
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24
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Editorial: Integrating Whole Genome Sequencing Into Source Attribution and Risk Assessment of Foodborne Bacterial Pathogens, file e1dcb339-08a1-7715-e053-1705fe0a6cc9
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24
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Identification of a Maturation Plasma Cell Index through a Highly Sensitive Droplet Digital PCR Assay Gene Expression Signature Validation in Newly Diagnosed Multiple Myeloma Patients, file c98b8a6c-52ea-40eb-9081-4d2f4d2811aa
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23
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Clusters of science and health related Twitter users become more isolated during the COVID-19 pandemic, file e1dcb339-f843-7715-e053-1705fe0a6cc9
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23
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Characterization of DNA methylation as a function of biological complexity via dinucleotide inter-distances, file e1dcb32d-f582-7715-e053-1705fe0a6cc9
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21
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Influenza vaccination landscape in Italy: A comprehensive study through the OBVIOUS project lens, file a133fe79-e7a6-4472-a086-1c07400810cc
|
20
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Identification of a DNA methylation siganture in blood cells from persons with Down Syndrome., file e1dcb32d-ef21-7715-e053-1705fe0a6cc9
|
20
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Dynamics of social media behavior before and after SARS-CoV-2 infection, file da68052e-6135-4390-bb4f-f6e18856d7af
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19
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WISDoM: Characterizing Neurological Time Series With the Wishart Distribution, file e1dcb339-5e85-7715-e053-1705fe0a6cc9
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19
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RUNX2 expression in thyroid and breast cancer requires the cooperation of three non-redundant enhancers under the control of BRD4 and c-JUN, file e1dcb337-d5f8-7715-e053-1705fe0a6cc9
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18
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Quantifying the contribution of four resistance mechanisms to ciprofloxacin MIC in Escherichia coli: a systematic review, file e1dcb333-787f-7715-e053-1705fe0a6cc9
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17
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Galvanotactic Phenomenon Induced by Non-Contact Electrostatic Field: Investigation in a Scratch Assay, file e1dcb33a-03a5-7715-e053-1705fe0a6cc9
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17
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Identification of a DNA methylation siganture in blood cells from persons with Down Syndrome., file e1dcb338-61d2-7715-e053-1705fe0a6cc9
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15
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Effectiveness of Radiomic ZOT Features in the Automated Discrimination of Oncocytoma from Clear Cell Renal Cancer, file 086f3416-1cf1-45b7-948e-221301a79ffb
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14
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A network approach for low dimensional signatures from high throughput data, file 11461a4e-708b-4d0e-ba56-bdba6c688317
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14
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Intraspecies characterization of bacteria via evolutionary modeling of protein domains, file bd669040-4696-4f10-9288-ac603e19d40d
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13
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Effectiveness of Biologically Inspired Neural Network Models in Learning and Patterns Memorization, file 8ed075f3-c01b-408c-b44f-b45f6a2fd504
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12
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Node centrality measures identify relevant structural MRI features of subjects with autism, file e1dcb339-8e2e-7715-e053-1705fe0a6cc9
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11
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Genetic Diversity and Antimicrobial Resistance of Extraintestinal E. coli Populations Pre- and Post-Antimicrobial Therapy on Broilers Affected by Colisepticemia, file 253c46c4-5abd-42e4-a70a-c05ad4c93d95
|
9
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A network approach for low dimensional signatures from high throughput data, file 7dbeda86-96b2-47c8-9ba5-be34d718104e
|
9
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Data Science for Health Image Alignment: A User-Friendly Open-Source ImageJ/Fiji Plugin for Aligning Multimodality/Immunohistochemistry/Immunofluorescence 2D Microscopy Images, file aefc1003-dd1f-4c5c-a235-28a08530aef7
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8
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A deep learning approach for magnetic resonance fingerprinting: Scaling capabilities and good training practices investigated by simulations, file e1dcb339-4a8d-7715-e053-1705fe0a6cc9
|
8
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Mechanisms involved in the promoting activity of fibroblasts in HTLV-1-mediated lymphomagenesis: Insights into the plasticity of lymphomatous cells, file 234ac001-eddf-4062-9375-4aa85bea318d
|
7
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Prediction of Overall Survival in Cervical Cancer Patients Using PET/CT Radiomic Features, file 41db0b68-56f4-4c2c-a754-8ebaa8dffd00
|
7
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|
Merging 1D and 3D genomic information: Challenges in modelling and validation, file e1dcb334-5a58-7715-e053-1705fe0a6cc9
|
7
|
|
Systems Biology approaches to cancer: towards new therapeutical strategies and personalized approaches, file e1dcb334-722b-7715-e053-1705fe0a6cc9
|
7
|
|
Identification of a DNA methylation siganture in blood cells from persons with Down Syndrome., file e1dcb338-5e61-7715-e053-1705fe0a6cc9
|
7
|
|
Identification of a DNA methylation siganture in blood cells from persons with Down Syndrome., file e1dcb338-5e62-7715-e053-1705fe0a6cc9
|
7
|
|
Network-based strategies for protein characterization, file e1dcb339-79aa-7715-e053-1705fe0a6cc9
|
7
|
|
WISDoM: Characterizing Neurological Time Series With the Wishart Distribution, file e1dcb339-91ba-7715-e053-1705fe0a6cc9
|
7
|
|
Modelling antimicrobial resistance transmission to guide personalized antimicrobial stewardship interventions and infection control policies in healthcare setting: a pilot study, file 158a8cca-9a65-4598-9329-2a1e359a74f8
|
5
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|
Source Attribution of Human Campylobacteriosis Using Whole-Genome Sequencing Data and Network Analysis, file 39ead0fa-fde8-452a-b56c-084bdd6a29ad
|
5
|
|
Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios, file 7fc6b6c9-0a1d-455d-9a3f-0305e9645a96
|
5
|
|
Machine and Deep Learning Algorithms for COVID-19 Mortality Prediction Using Clinical and Radiomic Features, file 2a73582a-167f-45cc-a178-587c4ca6a510
|
4
|
|
Modelling antimicrobial resistance transmission to guide personalized antimicrobial stewardship interventions and infection control policies in healthcare setting: a pilot study, file 5b501684-1f40-4721-8c4d-879dc3c4d708
|
4
|
|
Challenges in the use of artificial intelligence for prostate cancer diagnosis from multiparametric imaging data, file 9976edef-b956-4108-828f-98d13abf46bd
|
4
|
|
Comparison of Source Attribution Methodologies for Human Campylobacteriosis, file b36e1a8c-6032-47d3-8cf5-1324c9856f0b
|
4
|
|
Stochastic analysis of a miRNA-protein toggle switch, file e1dcb32c-0e53-7715-e053-1705fe0a6cc9
|
4
|
|
On the multiplicity of Laplacian eigenvalues and Fiedler partitions, file e1dcb330-b62f-7715-e053-1705fe0a6cc9
|
4
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|
Water exchange between intra and extracellular compartments studied by nuclear magnetic resonance relaxometry and optical microscopy, file e1dcb336-4295-7715-e053-1705fe0a6cc9
|
4
|
|
A deep learning approach for magnetic resonance fingerprinting: Scaling capabilities and good training practices investigated by simulations, file 341f17e0-8c4d-45ca-a194-738a40d88234
|
3
|
|
Statistical strategies and stochastic predictive models for the MARK-AGE data, file e1dcb32c-e727-7715-e053-1705fe0a6cc9
|
3
|
|
Impact of concurrency on the performance of a whole exome sequencing pipeline, file e1dcb337-8255-7715-e053-1705fe0a6cc9
|
3
|
|
Sediment core analysis using artificial intelligence, file 26bee3f2-009e-412d-a0e4-be3262e7f781
|
2
|
|
Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations, file cf0d0844-bb0a-4b58-8baa-4d229a4ed600
|
2
|
|
BK channel overexpression on plasma membrane of fibroblasts from Hutchinson-Gilford progeria syndrome, file e1dcb331-f2a8-7715-e053-1705fe0a6cc9
|
2
|
|
Towards the authentication of European sea bass origin through a combination of biometric measurements and multiple analytical techniques, file e1dcb332-54a3-7715-e053-1705fe0a6cc9
|
2
|
|
LifeTime and improving European healthcare through cell-based interceptive medicine, file e1dcb336-2133-7715-e053-1705fe0a6cc9
|
2
|
|
Characterization of DNA methylation as a function of biological complexity via dinucleotide inter-distances, file e1dcb337-ab51-7715-e053-1705fe0a6cc9
|
2
|
|
Preliminary development of a Magnetic Resonance Fingerprinting framework for fast multiparametric low-field NMR relaxometry, file 05759cd9-adb4-43d6-9382-a2b8dcd2d909
|
1
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Effetti delle radiazioni ionizzanti sulla comunicazione cellulare: uno studio comparativo fra particelle alfa, protoni e raggi gamma tramite la tecnica del Patch Clamp, file e1dcb32b-fec0-7715-e053-1705fe0a6cc9
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1
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Analysis of noise-induced bimodality in a Michaelis–Menten single-step enzymatic cycle, file e1dcb32b-ff37-7715-e053-1705fe0a6cc9
|
1
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| Totale |
4.762 |