| Nome |
# |
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Processing of big heterogeneous genomic datasets for tertiary analysis of Next Generation Sequencing data, file e0c31c0c-9670-4599-e053-1705fe0aef77
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400
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Conceptual modeling for genomics: Building an integrated repository of open data, file e0c31c0b-e90e-4599-e053-1705fe0aef77
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398
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Drug Repositioning Predictions by Non-Negative Matrix Tri-Factorization of Integrated Association Data, file e0c31c0e-40f8-4599-e053-1705fe0aef77
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328
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Data management for heterogeneous genomic datasets, file e0c31c0a-85ed-4599-e053-1705fe0aef77
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315
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SMfinder: Small molecules finder for metabolomics and lipidomics analysis, file e0c31c10-da88-4599-e053-1705fe0aef77
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290
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Indexing Next-Generation Sequencing data, file e0c31c0b-dd6a-4599-e053-1705fe0aef77
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277
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Overview of GeCo: A Project for Exploring and Integrating Signals from the Genome, file e0c31c0c-9672-4599-e053-1705fe0aef77
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275
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Supervised machine learning for the assessment of Chronic Kidney Disease advancement, file e0c31c12-9cc5-4599-e053-1705fe0aef77
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243
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Analysis of Gene Regulatory Networks Inferred from ChIP-seq Data, file e0c31c0d-f60f-4599-e053-1705fe0aef77
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239
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Novelty indicator for enhanced prioritization of predicted gene ontology annotations, file e0c31c0c-5ff6-4599-e053-1705fe0aef77
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225
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Modeling Gene Transcriptional Regulation by Means of Hyperplanes Genetic Clustering, file e0c31c0c-b160-4599-e053-1705fe0aef77
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215
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MuSERA: Multiple sample enriched region assessment, file e0c31c0b-fcb4-4599-e053-1705fe0aef77
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210
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Experiences in the development of a data management system for genomics, file e0c31c0c-a759-4599-e053-1705fe0aef77
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204
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Demonstration of GenoMetric Query Language, file e0c31c0c-361b-4599-e053-1705fe0aef77
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197
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Explorative search of distributed bio-data to answer complex biomedical questions, file e0c31c08-1394-4599-e053-1705fe0aef77
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195
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Scalable genomic data management system on the cloud, file e0c31c0b-6eb5-4599-e053-1705fe0aef77
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193
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GenoMetric Query Language: A novel approach to large-scale genomic data management, file e0c31c09-81c4-4599-e053-1705fe0aef77
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186
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META-BASE: a Novel Architecture for Large-Scale Genomic Metadata Integration, file e0c31c10-926a-4599-e053-1705fe0aef77
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162
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Analysis of metabolomic data: tools, current strategies and future challenges for omics data integration, file e0c31c0f-843e-4599-e053-1705fe0aef77
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147
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Computational algorithms to predict Gene Ontology annotations, file e0c31c07-bf2b-4599-e053-1705fe0aef77
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145
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GenoSurf: metadata driven semantic search system for integrated genomic datasets, file e0c31c0f-2f06-4599-e053-1705fe0aef77
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144
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Comparing classic, deep and semi-supervised learning for whole-transcriptome breast cancer subtyping, file e0c31c10-e39c-4599-e053-1705fe0aef77
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144
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TCGA2BED: Extracting, extending, integrating, and querying The Cancer Genome Atlas, file e0c31c0a-80cc-4599-e053-1705fe0aef77
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131
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OpenGDC: Unifying, Modeling, Integrating Cancer Genomic Data and Clinical Metadata, file e0c31c0f-df1c-4599-e053-1705fe0aef77
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130
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Hybrid evolutionary framework for selection of genes predicting breast cancer relapse, file e0c31c10-e39e-4599-e053-1705fe0aef77
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128
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Explorative visual analytics on interval-based genomic data and their metadata, file e0c31c0b-78eb-4599-e053-1705fe0aef77
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119
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De novo sequence-based method for ncRPI prediction using structural information, file e0c31c10-a783-4599-e053-1705fe0aef77
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119
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Detection of gene annotations and protein-protein interaction associated disorders through transitive relationships between integrated annotations, file e0c31c07-bf2f-4599-e053-1705fe0aef77
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117
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Exposing and characterizing subpopulations of distinctly regulated genes by k-plane regression, file e0c31c10-ea9d-4599-e053-1705fe0aef77
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117
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Using combined evidence from replicates to evaluate ChIP-seq peaks, file e0c31c09-860d-4599-e053-1705fe0aef77
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114
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Non-negative Matrix Tri-Factorization for Data Integration and Network-based Drug Repositioning, file e0c31c0e-8383-4599-e053-1705fe0aef77
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109
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BITS 2015: The annual meeting of the Italian Society of Bioinformatics, file e0c31c0a-8279-4599-e053-1705fe0aef77
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103
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Integration and querying of genomic and proteomic semantic annotations for biomedical knowledge extraction, file e0c31c09-8d76-4599-e053-1705fe0aef77
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102
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Integrated Bio-Search: Challenges and trends for the integration, search and comprehensive processing of biological information, file e0c31c08-1393-4599-e053-1705fe0aef77
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99
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Network modeling and analysis of normal and cancer gene expression data, file e0c31c10-a77f-4599-e053-1705fe0aef77
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95
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Software suite for gene and protein annotation prediction and similarity search, file e0c31c0e-b6e9-4599-e053-1705fe0aef77
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85
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Unveiling gene expression histonic regulative patterns by hyperplanes clustering, file e0c31c0c-362c-4599-e053-1705fe0aef77
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66
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A review on viral data sources and search systems for perspective mitigation of COVID-19, file e0c31c10-149b-4599-e053-1705fe0aef77
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64
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Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer, file e0c31c10-784d-4599-e053-1705fe0aef77
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57
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Computational analysis of fused co-expression networks for the identification of candidate cancer gene biomarkers, file e0c31c10-9efe-4599-e053-1705fe0aef77
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55
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Data-driven genomic computing: making sense of signals from the genome, file e0c31c0b-ff88-4599-e053-1705fe0aef77
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52
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Using Non-Negative Matrix Tri-Factorization to find candidate drugs for the treatment of Alternating Hemiplegia of Childhood (AHC), file e0c31c0c-6ce6-4599-e053-1705fe0aef77
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52
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Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks, file e0c31c10-9950-4599-e053-1705fe0aef77
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48
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Computational pipeline for automatic chromatin state identification in multiple tissues, file e0c31c0c-6ce8-4599-e053-1705fe0aef77
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45
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Gene function finding through cross-organism ensemble learning, file e0c31c10-964a-4599-e053-1705fe0aef77
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42
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Modeling and interoperability of heterogeneous genomic big data for integrative processing and querying, file e0c31c0f-3b54-4599-e053-1705fe0aef77
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36
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Data management for heterogeneous genomic datasets, file e0c31c0b-fcb6-4599-e053-1705fe0aef77
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27
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Genomic big data management, modeling and computing, file e0c31c10-aef1-4599-e053-1705fe0aef77
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21
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Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity, file 9d19a913-44bd-430e-a47f-8af7f501fcf1
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20
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Computational analysis and comparison of gene networks from TCGA normal and cancer data, file e0c31c10-e706-4599-e053-1705fe0aef77
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19
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Using GMQL-web for querying, downloading and integrating public with private genomic datasets, file e0c31c0f-ccf6-4599-e053-1705fe0aef77
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16
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Predictive modeling of gene expression regulation, file e0c31c12-9cc7-4599-e053-1705fe0aef77
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16
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Genomic data integration and user-defined sample-set extraction for population variant analysis, file 7c8a3987-3952-464e-863f-1c0e9bd0b6e5
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15
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Boosting perspectives for breast cancer intrinsic subtyping on RNA-sequencing data, file e0c31c10-99bf-4599-e053-1705fe0aef77
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15
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Network-based approach to identify new indications for existing drugs in the DrugBank database, file e0c31c10-99bd-4599-e053-1705fe0aef77
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14
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Accurate and highly interpretable prediction of gene expression from histone modifications, file d8928a58-03cc-4912-bd57-6ecaab146439
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12
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Association rule mining to identify transcription factor interactions in genomic regions, file 62a4625a-7a8d-4efc-93b5-b2835a016970
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10
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Supervised Relevance-Redundancy assessments for feature selection in omics-based classification scenarios, file 2b017071-688b-473b-adae-631d8f7ac031
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7
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RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor, file 79226c80-7607-4ac4-8aa5-6a0c1481b7dd
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5
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Accurate and highly interpretable prediction of gene expression from histone modifications, file a22589d2-185c-44e5-bbcd-47220a461c8b
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5
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MuSERA: Multiple sample enriched region assessment, file e0c31c0b-7884-4599-e053-1705fe0aef77
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5
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META-BASE: a Novel Architecture for Large-Scale Genomic Metadata Integration, file e0c31c0f-e40b-4599-e053-1705fe0aef77
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5
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Investigating Deep Learning based Breast Cancer Subtyping using Pan-cancer and Multi-omic Data, file e0c31c10-edf9-4599-e053-1705fe0aef77
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5
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Predicting Drug Synergism by Means of Non-Negative Matrix Tri-Factorization, file e0c31c11-a781-4599-e053-1705fe0aef77
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5
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Investigating transcript isoform RNA-seq data and machine learning techniques for breast cancer subtyping, file e0c31c11-6967-4599-e053-1705fe0aef77
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4
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Biologically-driven feature selection for improved functional interpretability of gene expression data analysis, file 5e320907-4c82-438b-adee-7eb5b24651c1
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3
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Software suite for gene and protein annotation prediction and similarity search, file e0c31c09-74ab-4599-e053-1705fe0aef77
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3
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Identification, semantic annotation and comparison of combinations of functional elements in multiple biological conditions, file e0c31c12-3b8f-4599-e053-1705fe0aef77
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3
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Telemedicine and e-health, file e0c31c09-1727-4599-e053-1705fe0aef77
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2
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Ontology-Based Search of Genomic Metadata, file e0c31c09-7fc1-4599-e053-1705fe0aef77
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2
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Cross-organism learning method to discover new gene functionalities, file e0c31c09-90e8-4599-e053-1705fe0aef77
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2
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Data management for next generation genomic computing, file e0c31c0a-79ae-4599-e053-1705fe0aef77
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2
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Unraveling the effect of proliferative stress in vivo in hematopoietic stem cell gene therapy, file 538b689d-f3d7-4faa-b709-e18df5a3d6d5
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1
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Biological and Medical Ontologies: Disease Ontology (DO), file 97dcfbe3-e9c8-47ea-8074-bdce313d8648
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1
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Ontology-Based Prediction and Prioritization of Gene Functional Annotations, file e0c31c09-7f2c-4599-e053-1705fe0aef77
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1
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Modeling and interoperability of heterogeneous genomic big data for integrative processing and querying, file e0c31c0a-8123-4599-e053-1705fe0aef77
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1
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Looking for similar patterns in genomic sequences, file e0c31c0a-81da-4599-e053-1705fe0aef77
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1
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Indexing Next-Generation Sequencing data, file e0c31c0a-8656-4599-e053-1705fe0aef77
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1
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Federated sharing and processing of genomic datasets for tertiary data analysis, file e0c31c0f-ede5-4599-e053-1705fe0aef77
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1
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Matrix Factorization-based Technique for Drug Repurposing Predictions, file e0c31c0f-ee75-4599-e053-1705fe0aef77
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1
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Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping, file e0c31c10-caf4-4599-e053-1705fe0aef77
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1
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The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles, file e7445d40-ffd9-4f03-8d24-399d024ef4d1
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1
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| Totale |
7.470 |