[PDF] Top 20 Mining gene expression data using domain knowledge
Has 10000 "Mining gene expression data using domain knowledge" found on our website. Below are the top 20 most common "Mining gene expression data using domain knowledge".
Mining gene expression data using domain knowledge
... to gene expression data for generating association rules be- tween gene under- and over-expressions such as: gene1[↑] → gene2[↑], ...global gene expres- sion profiling pointed out ... Voir le document complet
18
Visualization of data structure, domain knowledge and data mining results: application to breast cancer gene expressions
... of knowledge consists of removing superfluous partitions such that the set of elementary categories in the information system is preserved, in particular, ... Voir le document complet
14
Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach - Workshop on argument mining
... a knowledge-driven argument mining approach based on the principles developed in (Saint-Dizier ...This knowledge based approach to ar- gument mining was felt to be challenging be- cause of the ... Voir le document complet
8
Building Virtual Reality Spaces for Visual Data Mining with Hybrid Evolutionary-Classical Optimization: Application to Microarray Gene Expression Data
... in data [3], and the role of visual- ization techniques in the knowledge discovery process is well ...known. Data and patterns are concepts which should be considered in a broad ...of data ... Voir le document complet
8
Visual data mining of symbolic knowledge using rough sets, virtual reality and fuzzy techniques: an application in geophysical prospecting
... Visual data mining of symbolic knowledge obtained with rough sets proved to be effec- tive in understanding complex problems with partially defined and imprecise ...is domain-independent and ... Voir le document complet
8
Interpreting fuzzy clustering results with virtual reality-based visual data mining: application to microarray gene expression data
... imprecise data, as well as symbolic knowledge. The notion of data is not restricted to databases, but includes logical relations and other forms of both structured and non- structured ...the ... Voir le document complet
8
Virtual Reality Visual Data Mining with Nonlinear Discriminant Neural Networks: Application to Leukemia and Alzheimer Gene Expression Data
... Table.II contains sample mean and ranges for the MSE for each of the experiments for both training and test set. The effect of reducing the number of genes per sample can be readily seen. The mean MSE on the test set has ... Voir le document complet
8
Extracted knowledge interpretation in mining biological data: A survey
... of gene expression-based clustering methods This approach [27] proposes a measure for testing the quality of clusters of gene expression profiles based on mutual information between cluster ... Voir le document complet
20
Spectral analysis of gene expression profiles using gene networks
... onto gene networks to elucidate the functions perturbed at the level of ...priori knowledge of the gene networks could help in the statistical analysis of gene expression data ... Voir le document complet
14
GenMiner: mining non-redundant association rules from integrated gene expression data and annotations
... yeast gene was annotated with the GO IDs of its associated terms in Yeast GO Slim (a yeast-specific cut-down version of Gene Ontology), the PubMed IDs representing its asso- ciations with research papers, ... Voir le document complet
3
A Multi-strategy approach to informative gene identification from gene expression data
... the knowledge representation ...elicited knowledge on attribute relevance and ...on using decision support systems when multi-strategy machine learning is ... Voir le document complet
19
A Hybrid Knowledge Discovery Approach for Mining Predictive Biomarkers in Metabolomic Data
... 3.4 Visualization and Interpretation Now we can consider the core set of best ranked features identified in the previ- ous prediction step for visualization and interpretation purposes. Visualization can be carried out ... Voir le document complet
17
Semi-supervised consensus clustering for gene expression data analysis
... certain gene function is based on current knowledge in the domain ...Such domain knowledge is often subject to ...current knowledge of cer- tain existing gene is limited ... Voir le document complet
14
Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach - Workshop on argument mining
... a knowledge-driven argument mining approach based on the principles developed in (Saint-Dizier ...This knowledge based approach to ar- gument mining was felt to be challenging be- cause of the ... Voir le document complet
7
Mining biological information from 3D gene expression data : the OPTricluster algorithm
... implemented using a third party library, the JFreeChart ...external Gene Ontology files. OPTricluster can download the Gene Ontology and gene annotation files directly from the Gene ... Voir le document complet
37
Data mining of gene expression changes in Alzheimer brain
... 3.1 Patient samples and RNA extraction A total of 4 clinically diagnosed AD patients and 5 normal patients of similar age were used in this study. Post mortem intervals ranged from 4 − 8 hours. Previous studies [37] ... Voir le document complet
32
Open Data Platform for Knowledge Access in Plant Health Domain : VESPA Mining
... Another originality of our work is to parse documents with a dependency of the document architecture (sections: chapters, subchapters...). Lots of works has been done to retrieve named entities like genes, persons, ... Voir le document complet
6
Towards efficient data integration and knowledge management in the Agronomic domain
... the data were ...uniform data is a much discussed topic. For instance, the Research Data Alliance (RDA, ...Agriculture Data Interoperability Interest group ( ... Voir le document complet
9
Evaluation and Optimization of Clustering in Gene Expression Data Analysis
... given gene expression data ...complete data set to determine the cluster quality (the original information is kept ...complete data set, in the re-sampling validation method (Dudoit and ... Voir le document complet
12
Integrating clinical, gene expression, protein expression and preanalytical data for in silico cancer research.
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet
7
Sujets connexes