| Nome |
# |
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Network-based approaches to explore complex biological systems towards network medicine, file e383531c-5ff3-15e8-e053-a505fe0a3de9
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284
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NEMESIS (NEtwork MEdicine analySIS): Towards visual exploration of network medicine data, file e3835323-873e-15e8-e053-a505fe0a3de9
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161
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PVT1: a rising star among oncogenic long non-coding RNAs, file e3835312-3769-15e8-e053-a505fe0a3de9
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123
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Convolutional neural networks for automated classification of prostate multiparametric magnetic resonance imaging based on image quality, file e383532c-cf0d-15e8-e053-a505fe0a3de9
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120
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Role of the long non-coding RNA PVT1 in the dysregulation of the ceRNA-ceRNA network in human breast cancer, file e3835316-a285-15e8-e053-a505fe0a3de9
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111
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Integrated transcriptomic correlation network analysis identifies COPD molecular determinants, file e3835324-e973-15e8-e053-a505fe0a3de9
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108
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Connectivity significance for disease gene prioritization in an expanding universe, file e383532e-6fff-15e8-e053-a505fe0a3de9
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101
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SWIM: A computational tool to unveiling crucial nodes in complex biological networks, file e3835316-b8cc-15e8-e053-a505fe0a3de9
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97
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Network analysis integrating microRNA expression profiling with MRI biomarkers and clinical data for prostate cancer early detection: a proof of concept study, file e383532d-5ef2-15e8-e053-a505fe0a3de9
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95
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miRVine: a microRNA expression atlas of grapevine based on small RNA sequencing, file e3835316-a283-15e8-e053-a505fe0a3de9
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92
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SAveRUNNER: A network-based algorithm for drug repurposing and its application to COVID-19, file e383532a-a0c3-15e8-e053-a505fe0a3de9
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84
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Protein-protein Interaction prediction via graph signal processing, file e383532d-7000-15e8-e053-a505fe0a3de9
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74
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Stochastic Modeling of Expression Kinetics Identifies Messenger Half-Lives and Reveals Sequential Waves of Co-ordinated Transcription and Decay, file e3835311-e401-15e8-e053-a505fe0a3de9
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73
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Computational analysis identifies a sponge interaction network between long non-coding RNAs and messenger RNAs in human breast cancer, file e3835325-512d-15e8-e053-a505fe0a3de9
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65
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SEaCorAl: Identifying and contrasting the regulation-correlation bias in RNA-Seq paired expression data of patient groups, file e383532c-6e8a-15e8-e053-a505fe0a3de9
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65
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Prediction of response to vemurafenib in BRAF V600E mutant cancers based on a network approach, file e3835325-691d-15e8-e053-a505fe0a3de9
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64
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Prostate cancer screening research can benefit from network medicine: an emerging awareness, file e3835325-da15-15e8-e053-a505fe0a3de9
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62
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Gene co-expression in the interactome: moving from correlation toward causation via an integrated approach to disease module discovery, file e3835329-af57-15e8-e053-a505fe0a3de9
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60
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In silico drug repurposing in COVID-19. A network-based analysis, file e383532d-0256-15e8-e053-a505fe0a3de9
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55
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The role of FOSL1 in stem-like cell reprogramming processes, file e383532d-1019-15e8-e053-a505fe0a3de9
|
38
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A Comparison of Network-Based Methods for Drug Repurposing along with an Application to Human Complex Diseases, file e383532e-9bbc-15e8-e053-a505fe0a3de9
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36
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Network as a language for precision medicine, file e383532d-ec5e-15e8-e053-a505fe0a3de9
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28
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Moses: A new approach to integrate interactome topology and functional features for disease gene prediction, file e383532d-455a-15e8-e053-a505fe0a3de9
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16
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Comprehensive network medicine-based drug repositioning via integration of therapeutic efficacy and side effects, file e383532e-af33-15e8-e053-a505fe0a3de9
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15
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StaRTrEK:in silico estimation of RNA half-lives from genome-wide time-course experiments without transcriptional inhibition, file e383532f-4239-15e8-e053-a505fe0a3de9
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13
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Immune-related toxicity and soluble profile in patients affected by solid tumors: a network approach, file 0bedcce7-5b61-45ee-b557-7de4e188289d
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11
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Revisiting the linear recursions with nonnegative coefficients problem, file e383532a-5d11-15e8-e053-a505fe0a3de9
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11
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Integrated network analysis for studying human lung squamous cell carcinoma, file e3835325-0ed7-15e8-e053-a505fe0a3de9
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10
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Differential Co-expression Network Analysis to Investigate Sexual Dimorphism in Colon Cancer, file 63c7b12f-fbde-4a7b-936b-bfc455e8a741
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8
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Network medicine for patients' stratification: From single‐layer to multi‐omics, file 713147c9-7586-429e-af0b-7e4ad49aa472
|
7
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On the class of linear filters attainable with charge routing networks, file e3835311-ba13-15e8-e053-a505fe0a3de9
|
7
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Synchronous protein cycling in batch cultures of the yeast Saccharomyces cerevisiae at log growth phase, file e3835311-da4f-15e8-e053-a505fe0a3de9
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6
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Network analysis to determine association between immuno-related toxicities and immune soluble profile in patients treated with anti-PD-1, file 30d0ac26-b94f-4eec-a7e4-2299033d0974
|
5
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Stratification of metastatic melanoma patients based on mutational signatures, file abd6a721-e1d7-4bc1-b049-a806fae5176d
|
5
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Positive Dynamical Systems: New Applications, Old Problems, file d521851c-1476-4aef-bff2-29b68e1725e3
|
5
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Molecular network analysis of hormonal contraceptives side effects via database integration, file 369064fb-b395-4778-b1ee-062f0fea0a36
|
4
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Multi-layer network modelling of genomic and transcriptomic data to investigate the response to checkpoint inhibitors in NSCLC, file 3f2c3c20-b507-43d5-97fe-96a9f48ad31a
|
4
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Networks as Biomarkers: Uses and Purposes, file 7e98962b-96fa-4c91-ba15-b25b7f776faf
|
4
|
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Polyhedral reachable set with positive controls, file e3835311-5a3c-15e8-e053-a505fe0a3de9
|
4
|
|
The positive side of filters: a summary, file e3835311-5ccd-15e8-e053-a505fe0a3de9
|
4
|
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BRAF V600E -mutant cancers display a variety of networks by SWIM analysis: prediction of vemurafenib clinical response, file e3835321-ef52-15e8-e053-a505fe0a3de9
|
4
|
|
Revisiting the linear recursions with nonnegative coefficients problem, file e383531a-a3dc-15e8-e053-a505fe0a3de9
|
3
|
|
Connectivity significance for disease gene prioritization in an expanding universe, file e3835329-ccf3-15e8-e053-a505fe0a3de9
|
3
|
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Stratification of metastatic melanoma patients based on mutational signatures, file 33ba2801-94f8-41bf-a669-3bc61846c937
|
2
|
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Kinetic effects and modeling of mRNA turnover, file e383531b-80af-15e8-e053-a505fe0a3de9
|
2
|
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Identification of Disease-miRNA networks across different cancer types using SWIM, file e3835320-b9f8-15e8-e053-a505fe0a3de9
|
2
|
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Network Inference and Reconstruction in Bioinformatics, file e3835320-d1c1-15e8-e053-a505fe0a3de9
|
2
|
|
Preface, file e3835321-6883-15e8-e053-a505fe0a3de9
|
2
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Biological Random Walks: Integrating heterogeneous data in disease gene prioritization, file e3835323-9132-15e8-e053-a505fe0a3de9
|
2
|
|
A paradigm shift in medicine: a comprehensive review of network-based approaches, file e3835323-beda-15e8-e053-a505fe0a3de9
|
2
|
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Molecular networks in Network Medicine: Development and applications, file e3835325-e9d1-15e8-e053-a505fe0a3de9
|
2
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mRNA stability and the unfolding of gene expression in the long-period yeast metabolic cycle, file e383532d-bf60-15e8-e053-a505fe0a3de9
|
2
|
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Integrated network analysis identifies fight-club nodes as a class of hubs encompassing key putative switch genes that induce major transcriptome reprogramming during grapevine development, file e3835312-3768-15e8-e053-a505fe0a3de9
|
1
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The plasticity of the grapevine berry transcriptome, file e3835312-5501-15e8-e053-a505fe0a3de9
|
1
|
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A feature-based integrated scoring scheme for cell cycle-regulated genes prioritization, file e383531c-8ace-15e8-e053-a505fe0a3de9
|
1
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Topological analysis of migration flows (the case of political refugees), file e3835323-9f55-15e8-e053-a505fe0a3de9
|
1
|
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Erratum: "A note on minimality of positive realizations" (IEEE Transactions on Circuits and Systems), file e3835326-e894-15e8-e053-a505fe0a3de9
|
1
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| Totale |
2.168 |