| Nome |
# |
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Searching for repetitions in biological networks: methods, resources and tools, file e3ad8917-f702-da0e-e053-3705fe0a2b96
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427
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DNA combinatorial messages and Epigenomics: The case of chromatin organization and nucleosome occupancy in eukaryotic genomes, file e3ad891d-7828-da0e-e053-3705fe0a2b96
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283
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A big data approach for sequences indexing on the cloud via burrows wheeler transform, file e3ad8927-eb60-da0e-e053-3705fe0a2b96
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253
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null, file e3ad8927-0e0c-da0e-e053-3705fe0a2b96
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187
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Analyzing big datasets of genomic sequences: Fast and scalable collection of k-mer statistics, file e3ad8920-b12c-da0e-e053-3705fe0a2b96
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123
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FEDRO: a software tool for the automatic discovery of candidate ORFs in plants with c →u RNA editing, file e3ad8920-a28a-da0e-e053-3705fe0a2b96
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109
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Amarelli's Industry 4.0 Transformation with IoT and Digital Advertisement: Optimizing Operations and Engaging Customers, file bff04cca-fa68-451c-9961-7db04a3a789d
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97
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In vitro versus in vivo compositional landscapes of histone sequence preferences in eucaryotic genomes, file e3ad891d-8544-da0e-e053-3705fe0a2b96
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85
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Integrative bioinformatics and omics data source interoperability in the next-generation sequencing era-Editorial, file e3ad8927-d836-da0e-e053-3705fe0a2b96
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68
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Epigenomic k-mer dictionaries: shedding light on how sequence composition influences in vivo nucleosome positioning, file e3ad8918-5398-da0e-e053-3705fe0a2b96
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59
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Searching for repetitions in biological networks: methods, resources and tools, file e3ad8925-e4b1-da0e-e053-3705fe0a2b96
|
40
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Integrative bioinformatics and omics data source interoperability in the next-generation sequencing era-Editorial, file e3ad8927-d835-da0e-e053-3705fe0a2b96
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33
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Discriminating Graph Pattern Miningfrom Gene Expression Data, file e3ad891b-2cdc-da0e-e053-3705fe0a2b96
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13
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Discriminative pattern discovery for the characterization of different network populations, file fe0ea3c1-d264-48dc-8b7c-d4bfd726502e
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13
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A big data approach for sequences indexing on the cloud via burrows wheeler transform, file e3ad8927-87fe-da0e-e053-3705fe0a2b96
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11
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Prediction of Disease–lncRNA Associations via Machine Learning and Big Data Approaches, file e3ad8927-9edf-da0e-e053-3705fe0a2b96
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11
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Prediction of User-Brand Associations Based on Sentiment Analysis, file e710fd42-0299-400d-82ee-452f98c5b513
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10
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Discovering discriminative graph patterns from gene expression data, file e3ad891b-6958-da0e-e053-3705fe0a2b96
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7
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In vitro versus in vivo compositional landscapes of histone sequence preferences in eucaryotic genomes, file e3ad8924-9bfe-da0e-e053-3705fe0a2b96
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7
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DIAMIN: a software library for the distributed analysis of large-scale molecular interaction networks, file 74cc4d7e-e552-4919-87ce-ee21d8af5ac0
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6
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Prediction of lncRNA-Disease Associations from Tripartite Graphs, file e3ad8927-c6ac-da0e-e053-3705fe0a2b96
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6
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Efficient algorithms for sequence analysis with entropic profiles, file e3ad891c-ae2f-da0e-e053-3705fe0a2b96
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5
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DNA combinatorial messages and Epigenomics: The case of chromatin organization and nucleosome occupancy in eukaryotic genomes, file e3ad891f-b731-da0e-e053-3705fe0a2b96
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5
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An Integrative Framework for the Construction of Big Functional Networks, file e3ad8920-6611-da0e-e053-3705fe0a2b96
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5
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Identifying the k Best Targets for an Advertisement Campaign via Online Social Networks, file e3ad8927-d013-da0e-e053-3705fe0a2b96
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5
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A Collaborative Filtering Approach for Drug Repurposing, file af988395-17c0-4eed-967b-6742d2843dfb
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3
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Discovering new proteins in plant mitochondria by RNA editing simulation, file e3ad891b-2191-da0e-e053-3705fe0a2b96
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3
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Algorithms for Graph and Network Analysis: Clustering and Search of Motifs in Graphs, file e3ad891d-e9ed-da0e-e053-3705fe0a2b96
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3
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(Discriminative) Pattern Discovery on Biological Networks, file e3ad891e-1af2-da0e-e053-3705fe0a2b96
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3
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Design and Prototyping of a Smart University Campus, file e3ad8920-a28c-da0e-e053-3705fe0a2b96
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3
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Customer recommendation based on profile matching and customized campaigns in on-line social networks, file e3ad8927-c6aa-da0e-e053-3705fe0a2b96
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3
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A recommendation system for the prediction of drug-target associations, file 8e419b55-39ed-4b37-b2f2-1940487642e3
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2
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Protein-protein interaction network querying by a "focus and zoom" approach, file e3ad8916-1a54-da0e-e053-3705fe0a2b96
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2
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2D motif basis applied to the classification of digital images, file e3ad891c-dafe-da0e-e053-3705fe0a2b96
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2
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null, file e3ad8926-fbbf-da0e-e053-3705fe0a2b96
|
2
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Topological ranks reveal functional knowledge encoded in biological networks: a comparative analysis, file dad93e39-a9b6-44a5-a161-3d3cae782b3c
|
1
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Protein Data Condensation for Effective Quaternary Structure Classification, file e3ad8916-13f8-da0e-e053-3705fe0a2b96
|
1
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Multi-functional Protein Clustering in PPI Networks, file e3ad8916-16e2-da0e-e053-3705fe0a2b96
|
1
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Extracting similar sub-graphs across PPI Networks, file e3ad8916-16e5-da0e-e053-3705fe0a2b96
|
1
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Discovering Representative Models in Large Time Series Databases, file e3ad8916-1a40-da0e-e053-3705fe0a2b96
|
1
|
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Flexible Pattern Discovery with (Extended) Disjunctive Logic Programming, file e3ad8916-1a42-da0e-e053-3705fe0a2b96
|
1
|
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JSSPrediction: a Framework to Predict Protein Secondary Structures Using Integration, file e3ad8916-1a46-da0e-e053-3705fe0a2b96
|
1
|
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Bi-GRAPPIN: Bipartite graph based protein-protein interaction networks similarity search, file e3ad8916-1a50-da0e-e053-3705fe0a2b96
|
1
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"Master-Slave" Biological Network Alignment, file e3ad8916-1ae6-da0e-e053-3705fe0a2b96
|
1
|
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Protein Secondary Structure Prediction: How to Improve Accuracy by Integration, file e3ad8916-1aee-da0e-e053-3705fe0a2b96
|
1
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Singling out functional similarities in graph databases, file e3ad8916-1af2-da0e-e053-3705fe0a2b96
|
1
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Entropic Profiles, Maximal Motifs and the Discovery of Significant Repetitions in Genomic Sequences, file e3ad8917-0261-da0e-e053-3705fe0a2b96
|
1
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Foreword: Algorithms, Strings and Theoretical Approaches in the Big Data Era – Special Issue in Honor of the 60th Birthday of Professor Raffaele Giancarlo(Editorial), file e3ad891c-db02-da0e-e053-3705fe0a2b96
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1
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Network Centralities and Node Ranking, file e3ad891d-090c-da0e-e053-3705fe0a2b96
|
1
|
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Algorithms for Graph and Network Analysis: Graph Alignment, file e3ad891d-d3bd-da0e-e053-3705fe0a2b96
|
1
|
| Totale |
1.909 |