Examples of using Expression data in English and their translations into Portuguese
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More precisely in genome-wide expression data processing and modeling.
Gene expression data was used to identify canonical pathways metacoretm.
According to TNM stage andcutoff point, expression data are shown in table 2.
The expression'data or instructions' shall not be taken to include sound, cinematographic or video recordings.
Inference of gene regulatory networks from sparse and noisy expression data is still a challenge nowadays.
Gene expression data show that angiomatoid fibrous histiocytoma does not express SOX10, unlike clear cell sarcoma.
Meta-analyses were performed with the inmex bioinformatics tool,based on the rankprod package, using raw gene expression data.
These include freedom of expression, data protection and privacy and freedom of association.
For better understanding the mechanics of cellular control, many different approaches have been developed for inferring gene regulatory networks(grns),using temporal gene expression data.
To construct constant expression data values from user-defined types, constructors can also be declared with constexpr.
When in contact with VSMC, sulfate group alone andeven BSA alone at 4% were not able to induce MCP-1 expression data not show what makes us think how PCS interacts with the cells.
The expression Data Mining DM first appears, as a synonym of KDD, but it is only one of the stages of the knowledge discovery in databases in the KDD global process.
Thus it is necessary to use a single set of reference genes for normalizing expression data from both samples(male and female), by eliminating the effect of sex.
From microarray expression data, the gene that encodes a polypeptide with similarity to the ii subunit of atp synthase was selected and its role under abiotic stresses has been studied in tobacco nicotiana tabacum.
Just like clustering, biclustering has a broad set of applications, ranging from an advanced support for recommender systems of practical relevance to a decisive role in data mining techniques devoted to gene expression data analysis.
This family of algorithms has been commonly applied to gene expression data, in order to identify groups of genes with coherent expression patterns under a group of conditions.
Expression data can be used to infer gene regulation: one might compare microarray data from a wide variety of states of an organism to form hypotheses about the genes involved in each state.
In this paper, events related to the loss of desiccation tolerance during seed germination of peltophorum dubium were evaluated by protein heat resistant(pcrs) and catalase enzyme(cat),quantification of sugars and gene expression data.
The amount of differential gene expression data and the tools and solutions available allow for studies in exercise functional genomics, as well as the production of genetic tests to evaluate specific phenotypes.
The challenge of the genetic analysis of multifactorial phenotypes,such as those provided for in the doism combined etiology is to specify expression data of target genes, requiring the intervention of data reduction methods that can capture relevant information using a smaller set of variables.
To compare between the QTL and gene expression data, the pathways will be identified through the analysis of each data type and then will be compared to determine the common set of pathways through the Bayesian network analysis.
Genomic information can help develop additional molecular diagnostic tools for elucidation of the interactions between M. graminicola and wheat, as well as whole-genome comparisons,genetic mapping, and expression data, which will increasingly help to design improved strategies to manage STB.
Their capacity to gather a considerable amount of conventional spatial expression data, structuring and integrating them appropriately, makes them essential tools to handle geographic information Rede Interagencial de Informações para a Saúde- RIPSA, 2000.
To fully integrate all three dimensions of microbial biodiversity, we will use a two-tiered approach:(1) pairwise statistical integration between datasets of adjacent dimensions; and(2) simultaneous integration of all three dimensions via development of a trait-based computational model(MicroTrait-ME) that combines taxonomic identities, abundances, andtrait values(inferred from gene content and expression data) to predict the response of methane cycling to land use change.
Gene expression data supported the hypothesis that the discrepancy in fusion success may be due to osteogenic protein-1's ability to up-regulate osteogenic and angiogenic cytokines required for fusion, and, thus, overcome nicotine's inhibition of local gene expression. .
To detect, through three different computational methods, the differential gene expression data obtained by rna sequencing from mammary glands of holstein-zebu crossbred dairy cattle, kept in an extracorporeal system and experimentally infected with streptococcus agaclatiae; 2.
Using miRNAs expression data avaiable at ArrayExpress(EMBL-EBI) database, we develop a preliminar molecular classifier, in partnership with the swiss start up company SimplicityBio, which by a cross validation reach 90% of sensibility and 87% of specificity based on the analysis of only 4 miRNAs, in silico.
Gene regulatory networks(grn) inference from gene expression data is an important problem in systems biology eld, in which the main goal is to comprehend the global molecular mechanisms underlying diseases for the development of medical treatments and drugs.