Sentences with phrase «gene expression data»

Monitoring these expression ratios in live cells would provide prospective gene expression data as opposed to traditional retrospective characterization.

The project was based on gene expression data from the modENCODE project, which aims to provide the scientific community with a comprehensive encyclopedia of functional elements of the genome of model organisms.

«For several years the potential for the use of gene expression data in research and clinical applications has been underappreciated due to the inconsistency of the data coming from the various types of equipment.

Inspired by the knowledge - based analysis methods developed for gene expression data analysis, we implemented methods for examining functionally - related SNPs as a group.

deCODE will apply its expertise in in vitro pharmacogenomics to provide gene expression data in relation to a Wyeth candidate treatment for respiratory disease

A research team, led by Chao Cheng, Ph.D., Assistant Professor in the Department of Genetics at The Geisel School of Medicine at Dartmouth, used gene expression data from breast cancer patients to computationally infer the presence of different types of immune cells.

Garcia - Ojalvo expressed surprise that a network based only on gene expression data could predict, with relative accuracy, the effect of multiple genetic interactions.

Scientists compared gene expression data for the same biological samples obtained by both next generation sequencing (NGS) and microarray methods, finding that these different techniques have almost no correlation between the gene expression values for all datasets analysed.

The HaemAtlas database provides gene expression data of human erythroblasts, megakaryocytes, B cells, cytotoxic and helper T cells, natural killer cells, granulocytes, and monocytes.

As part of an observational study on the treatment of respiratory disease, deCODE will use its expertise in in vitro pharmacogenomics to generate gene expression data related to one of Wyeth's candidate drugs.

He group is also interested in high throughput gene expression data analysis, especially using Bayesian network (BN) approaches.

We focus on developing computational methods and tools for (a) analyzing large - scale gene expression data related to human cancer in search for gene markers and disease sub-categories, (b) identifying regulatory elements such as miRNA precursors and their targets in whole genomes of plants and mammals, (c) building theoretical models of gene regulatory networks.

The team used publicly available patient gene expression data to pinpoint just seven human genes whose activity changes during an infection; their pattern of activity can distinguish whether an infection is bacterial or viral.

This new gene expression data therefore provides additional evidence that the altered behavior of bacteria in space results from decreased gravity driving reduced extracellular transport of molecules.

The researchers developed algorithms to use in a «systems biology modeling cycle,» in which they repeatedly fit a model to gene expression data obtained from laboratory experiments until a good fit was obtained between the predicted and the measured outcomes.

«When we analyzed gene expression data from other neurological disorders that do not have similarities to Rett Syndrome, we did not see the same effects on very long genes,» said Gabel.

MEGENA (for Multiscale Embedded Gene Co-expression Network Analysis) projects gene expression data onto a three dimensional sphere, allowing scientists to study hierarchical organization patterns in complex networks that are characteristic of diseases such as cancer, obesity, and Alzheimer's.

The team analysed a large database that contains gene expression data in cancer patients.

Based on the PAM50 gene signature initially discovered by Charles Perou, Ph.D. and colleagues, the Prosigna Assay is an in vitro diagnostic tool that utilizes gene expression data weighted together with clinical variables to generate a risk category and numerical score to assess a patient's risk of distant recurrence of disease.

In the current study, sets of a priori, user - defined functionally related genes were input into GSEA as well as normalized gene expression data from both control versus hypoxia and control versus recovery microarray analyses.

FlyMine loads gene expression data for Drosophila melanogaster and Anopheles gambiae from FlyAtlas, BDGP, ArrayExpress and Fly - FISH.

The aim of his research was to use microarray gene expression data in order to characterize ageing in different human tissues and identify the age at which major changes in genetic expression profiles occur.

Scientists at Berkeley Lab and UC Berkeley have developed a way to spatially map gene expression data to determine a cell's fate.

There is greater gene overlap between the adult gene expression data in the Allen Brain Atlas and BGEM.

BGEM contains a more extensive, growing in situ collection of developmental gene expression data.

Computational genomics includes: bio-sequence analysis, gene expression data analysis, phylogenetic analysis, and more specifically pattern recognition and analysis problems such as gene finding, motif finding, gene function prediction, fusion of sequence and expression information, and evolutionary models.

We have developed new BN algorithms and tools for analysis of gene interaction networks using high throughput gene expression data.

Scientists from the Biogerontology Research Foundation (BGRF), a UK - based charity founded to support aging research and address the challenges of a rapidly aging population, propose a new concept for signalome - wide analysis of changes in intracellular pathways, called OncoFinder, which allows for accurate and robust cross-platform analysis of gene expression data.

Using clinical, genetic, and gene expression data as filters to distinguish genes whose copy number alteration causes cancer from those for whom copy number changes are incidental, the team whittled down their list from 14,000 to a more manageable number, each of which they systematically tested using genetic experiments in animals.

deCODE will apply its expertise in in vitro pharmacogenomics to provide gene expression data in relation to a Wyeth candidate treatment for respiratory disease Reykjavik, ICELAND, November 20, 2002 — deCODE genetics (Nasdaq / Nasdaq Europe: DCGN) today announced the...

A new mathematical model uses gene expression data to predict where neurons are located throughout the brain

In the Nature Methods paper, Corrada Bravo, UMD computer science doctoral student Florin Chelaru, and undergraduate research assistants from Williams College in Mass. and Washington University in St. Louis used Epiviz to visualize and analyze DNA methylation and gene expression data in colon cancer.

It contains data on the electrical properties of about 300 cortical neurons taken from 36 patients and 3D reconstructions of 100 of those cells, plus gene expression data from 16,000 neurons from three other patients.

The researchers also anticipate that their gene expression data and newly described islet - cell isolation technique, coupled with the ongoing tissue procurement effort, will be helpful to others studying pancreatic development and diabetes.

In this study, a team led by Panos N. Papapanou, DDS, PhD, professor and chair of oral, diagnostic and rehabilitation sciences at the College of Dental Medicine at CUMC, «reverse - engineered» the gene expression data to build a map of the genetic interactions that lead to periodontitis and identify individual genes that appear to have the most influence on the disease.

Biomolecular model based on the gene expression data analyses support the reduction of glucose molecules (blue gradient) and acid buildup (gold gradient) proposed to occur in the boundary layer around the cell.

«In particular, we predict from these gene expression data that planetary greening will continue — it won't switch off or become acclimated as CO2 continues to rise, but some of the extra carbon in future plants is likely to go into secondary chemicals for plant defence.

At the nucleic acid level, understanding the precise regulation of genes through analysis of gene expression data will be of utmost importance.

For many rodent species, genome and gene expression data are already available.

The researchers» next step is to use the genomic data they collected from the families — including full genome sequences and gene expression data — to begin identifying the specific genes that contribute to risk for bipolar disorder.

Based on the gene expression data, they constructed models for retrospectively predicting locomotor activity of individual mice.

In the current study, prediction analysis of gene expression data was implemented in order to identify the genes that are most useful to determine the state of cyclic changes in locomotor activity.

In the current study, the researchers used infradian cyclic locomotor activity in the mutant mice as a proxy for mood - associated changes, and examined their molecular basis in the brain by conducting prediction analyses of the gene expression data.

The authors next took 997 tumors in the discovery set, integrated copy number and gene expression data, and performed clustering analyses to identify subgroups of tumors with distinct features and clinical outcomes.

Then, methods for reconstructing gene regulatory networks from gene expression data will be looked.