標題: Titlebook: Data Integration in the Life Sciences; 5th International Wo Amos Bairoch,Sarah Cohen-Boulakia,Christine Froide Conference proceedings 2008 [打印本頁] 作者: deferential 時間: 2025-3-21 16:23
書目名稱Data Integration in the Life Sciences影響因子(影響力)
書目名稱Data Integration in the Life Sciences影響因子(影響力)學科排名
書目名稱Data Integration in the Life Sciences網絡公開度
書目名稱Data Integration in the Life Sciences網絡公開度學科排名
書目名稱Data Integration in the Life Sciences被引頻次
書目名稱Data Integration in the Life Sciences被引頻次學科排名
書目名稱Data Integration in the Life Sciences年度引用
書目名稱Data Integration in the Life Sciences年度引用學科排名
書目名稱Data Integration in the Life Sciences讀者反饋
書目名稱Data Integration in the Life Sciences讀者反饋學科排名
作者: 吹牛需要藝術 時間: 2025-3-21 20:47 作者: CAMP 時間: 2025-3-22 02:02 作者: 指令 時間: 2025-3-22 07:35
S. Ozmehmet Tasan,B. Felekoglu,E. Ozmehmet relationships between ontologies. Bgee then uses these aligned ontologies, onto which heterogeneous expression data types are mapped. These already include microarrays and ESTs. Bgee is available at http://bgee.unil.ch/作者: Perineum 時間: 2025-3-22 10:25
Cornelya F. C. Klütsch,Linda Laikrelic and local data, such as microarray data, protein-protein interaction data and pathway information; (ii) a registry of databases to serve as a reference of trusted databases; (iii) The database EnDICTION, to capture functional predictions generated by the computational analysis platform.作者: 平躺 時間: 2025-3-22 16:41 作者: 平躺 時間: 2025-3-22 19:00 作者: escalate 時間: 2025-3-22 21:40
Exploiting Ontology Structure and Patterns of Annotation to Mine Significant Associations between Paribution from the child CV terms; its value can be varied to reflect a variance of confidence values among the sibling CV terms of some parent CV term. We illustrate the benefits of exploiting this knowledge through experimental evaluation.作者: 飛行員 時間: 2025-3-23 04:50 作者: 冒號 時間: 2025-3-23 06:00 作者: Exterior 時間: 2025-3-23 10:16
Bgee: Integrating and Comparing Heterogeneous Transcriptome Data Among Species relationships between ontologies. Bgee then uses these aligned ontologies, onto which heterogeneous expression data types are mapped. These already include microarrays and ESTs. Bgee is available at http://bgee.unil.ch/作者: ODIUM 時間: 2025-3-23 16:24 作者: 領巾 時間: 2025-3-23 18:50
OMIE: Ontology Mapping within an Interactive and Extensible Environmentensible, i.e. matchers could be added or inhibited, and is interactive, i.e. experts could validate or invalidate mappings as well as choose between mapping specific concepts or mapping the entire ontologies.作者: SLAY 時間: 2025-3-23 22:57
Combining One-Class Classification Models Based on Diverse Biological Data for Prediction of Proteins generated from different subsets of biological data. The weighted average combination approach exhibits the best results, significantly improving the performance attained by any single classification model evaluated.作者: 加強防衛(wèi) 時間: 2025-3-24 04:01 作者: Androgen 時間: 2025-3-24 09:56 作者: Kinetic 時間: 2025-3-24 14:38 作者: 變異 時間: 2025-3-24 16:04 作者: figment 時間: 2025-3-24 22:20 作者: 套索 時間: 2025-3-25 02:09
SisGen: A CORBA–Based Data Management Program for DNA Sequencing Projectsre in a multi–layer architecture. The software integrates data management an annotation pipeline in a rich graphical visualization environment. The architectural design is presented and highlights the advantages in terms of portability, interconnectivity, modularity and user interface that can be achieved with this concept.作者: 打谷工具 時間: 2025-3-25 04:12
Conference proceedings 2008 chips, mass spectroscopy data), most of which are generated by high-throughput - periments. This exponentialcorpusof data is storedand made availablethrough a large number of databases and resources over the Web, but unfortunately still with a high degreeof semantic heterogeneity and varying levels作者: maudtin 時間: 2025-3-25 11:32
Analyzing the Evolution of Life Science Ontologies and Mappings(match) mappings between ontologies. We use our framework for an extensive comparative evaluation of evolution measures for 16 life science ontologies. Moreover, we analyze the evolution of annotation mappings and ontology mappings for the Gene Ontology.作者: 焦慮 時間: 2025-3-25 14:56
Bio2RDF : A Semantic Web Atlas of Post Genomic Knowledge about Human and Mouse reverse links within the warehouse. A knowledge map of the graph and descriptive statistics about its content are presented. A downloadable version of the Bio2RDF Atlas graph in N3 format is available at http://bio2rdf.org/download.作者: Microaneurysm 時間: 2025-3-25 16:55
Chemical Knowledge for the Semantic Webstrate its utility in querying a new drug repository created from PubChem, DrugBank and DBpedia. By leveraging Semantic Web technologies, it becomes possible to integrate chemical information at differing levels of detail and granularity, opening new avenues for life science knowledge discovery.作者: 使人煩燥 時間: 2025-3-25 21:41
BioWarehouse: Relational Integration of Eleven Bioinformatics Databases and Formatsnd of standard bioinformatics formats, into that database schema. Thus, multiple databases can be queried together within a single common schema. The supported databases are BioCyc, CMR, ENZYME, Eco2DBase, Genbank, Gene Ontology, KEGG, NCBI Taxonomy, and UniProt. The supported formats are BioPAX (protein interactions subset only) and MAGE-ML.作者: 喃喃而言 時間: 2025-3-26 00:23 作者: Bridle 時間: 2025-3-26 08:17 作者: SLUMP 時間: 2025-3-26 10:12 作者: paltry 時間: 2025-3-26 16:00 作者: neuron 時間: 2025-3-26 19:00 作者: 愉快么 時間: 2025-3-26 21:50
VisGenome and Ensembl: Usability of Integrated Genome Maps interfaces and clickable images, we hypothesised that a simplified interface supported by smooth zooming will help the user in their work. The user study confirmed our expectations, as more users correctly completed data finding tasks in VisGenome than in Ensembl. This shows that improved interacti作者: Bernstein-test 時間: 2025-3-27 02:28 作者: ungainly 時間: 2025-3-27 08:44
Semi Supervised Spectral Clustering for Regulatory Module Discoverytion of gene pairs sharing a common transcription factor in the resulting clusters. Our results indicate that our technique can successfully leverage the information available in the dna-binding data. To the best of our knowledge this is a novel formulation for the purpose of gene module discovery.作者: 易碎 時間: 2025-3-27 10:28 作者: Herbivorous 時間: 2025-3-27 17:35 作者: Insatiable 時間: 2025-3-27 21:46
Closing the Achievement Gap in Singapore interfaces and clickable images, we hypothesised that a simplified interface supported by smooth zooming will help the user in their work. The user study confirmed our expectations, as more users correctly completed data finding tasks in VisGenome than in Ensembl. This shows that improved interacti作者: chastise 時間: 2025-3-27 23:04
Finbarr G. Horgan,Enoka P. Kudavidanageexing workflow; (iii) the ability to provide the user with integrated results from different biomedical resource in one place. We discuss the system architecture as well as our experiences during its prototype implementation (http://www.bioontology.org/tools.html).作者: 強有力 時間: 2025-3-28 05:26 作者: 壟斷 時間: 2025-3-28 08:52 作者: 污穢 時間: 2025-3-28 12:31 作者: FAR 時間: 2025-3-28 17:03
James A. Sweet,Larry L. Bumpass the integration of genomic data based on Gene Ontology annotations, the cancer Biomedical Informatics Grid (caBIG) project, and semantic mashups created by the Semantic Web for Health Care and Life Sciences community.作者: forecast 時間: 2025-3-28 21:11
M. Yamashita,H. Ishihara,T. Oyamaprehensive database schema models many different bioinformatics datatypes. A set of loader tools permits loading of public bioinformatics databases, and of standard bioinformatics formats, into that database schema. Thus, multiple databases can be queried together within a single common schema. The 作者: relieve 時間: 2025-3-29 02:47 作者: 我沒有命令 時間: 2025-3-29 05:35
Ricardo A. Madeira,Marcos A. Rangelers (URI). To maximize the expressiveness and robustness of an ontological system in the web, each ontology should be ideally designed for a confined conceptual domain and deployed with minimal dependencies upon others. Through a retrospective analysis of the existing design of BioPAX ontologies, we作者: 斜坡 時間: 2025-3-29 09:38 作者: 漸強 時間: 2025-3-29 12:18 作者: PLUMP 時間: 2025-3-29 17:06 作者: 幼兒 時間: 2025-3-29 23:39
Closing the Achievement Gap in Singapore describe a new framework for protein entity resolution, called PERF, which deduplicates protein . using a wide range of protein attributes. A . refers to any recorded information about a protein, whether it is derived from a database, a high-throughput study, or literature text mining, among others作者: clarify 時間: 2025-3-29 23:57 作者: conservative 時間: 2025-3-30 04:13
Resolving Product Configuration Conflictsidentify candidate genes, gene expression profiles in different cell conditions, as well as functional annotation of putative gene products. Although EST analysis tools are publicly available there is still a lack of comprehensive data analysis and management programs. This work presents ., an integ作者: narcissism 時間: 2025-3-30 09:32 作者: 有惡意 時間: 2025-3-30 15:19 作者: Gourmet 時間: 2025-3-30 17:29 作者: 懲罰 時間: 2025-3-30 22:17
https://doi.org/10.1007/978-3-030-81085-6enomes? Using its rdfizing services, a semantic mashup of 65 million triples was built from 30 public bioinformatics data providers: GO, NCBI, UniProt, KEGG, PDB and many others. The average link-rank (ALR) of a node is 4.7 which means that a usual topic is connected to 4.7 other topics by direct or作者: 打包 時間: 2025-3-31 04:25
Finbarr G. Horgan,Enoka P. Kudavidanageeasingly valuable to map ontologies each other to determine which of their concepts are semantically related. Nowadays, developed tools are often semi-automatic and require the help of experts. Determining semantic relations between concepts is a difficult task, and the problem is still open. Severa作者: 解開 時間: 2025-3-31 08:44 作者: CRUMB 時間: 2025-3-31 10:14
Human Intestinal Epithelial Response(s) to ,ets frequently employed for this task contain a high proportion of instances related to ribosomal proteins. We demonstrate that this situation biases the classification results and additionally that the prediction of non-ribosomal based PPI is a much more difficult task. In order to improve the perf作者: 表臉 時間: 2025-3-31 15:44
Human Intestinal Epithelial Response(s) to , knowledge to guide the process of spectral clustering of microarray experiments. The microarray data from a set of repeat experiments are converted to an affinity, or similarity, matrix using a Gaussian function. We have investigated two methods to determine the optimal Gaussian variance for this p作者: 和音 時間: 2025-3-31 18:45 作者: chapel 時間: 2025-4-1 00:49 作者: Fillet,Filet 時間: 2025-4-1 03:03 作者: outrage 時間: 2025-4-1 06:49
Data Integration in the Life Sciences978-3-540-69828-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 初學者 時間: 2025-4-1 12:04
