Results 251 to 260 of about 594,887 (306)

GeneMCL in microarray analysis

Computational Biology and Chemistry, 2005
Accurately and reliably identifying the actual number of clusters present with a dataset of gene expression profiles, when no additional information on cluster structure is available, is a problem addressed by few algorithms. GeneMCL transforms microarray analysis data into a graph consisting of nodes connected by edges, where the nodes represent genes,
B. Samuel Lattimore   +2 more
openaire   +3 more sources

Focused microarray analysis

Methods, 2003
We describe detailed protocols and results with an integrated platform for studying relative transcript expression, including microarray design and fabrication, analysis and calibration algorithms, and high throughput quantitative real-time PCR. This approach optimizes sensitivity and accuracy while controlling the cost of experiments.
Elisa, Wurmbach   +2 more
openaire   +2 more sources

Microarray Analysis

2007
Microarrays and related technologies have allowed investigators to ask biological questions in far greater detail than has previously been possible. Microarrays had a troubled beginning, but most of these problems resulted from the growing pains of this technology, which, like many new things, was initially more promise than delivery.
Grier P, Page   +5 more
openaire   +2 more sources

Comparative Microarray Analysis

OMICS: A Journal of Integrative Biology, 2006
Microarrays enable high-throughput parallel gene expression analysis, and their use has grown exponentially during the past decade. We are now in a position where individual experiments could benefit from using the swelling public data repositories to allow microarrays to progress from being a hypothesis-generating tool to a powerful resource that can ...
Ola, Larsson   +2 more
openaire   +2 more sources

Microarray Analysis of Hypertension

2017
Hypertension is a complex disorder in which multiple genes, pathways, and organ systems simultaneously interact to contribute to the final level of blood pressure. Fully elucidating these interactions is an important area of hypertension research and one in which high-throughput methods such as microarrays can play a key role.
Henry L, Keen, Curt D, Sigmund
openaire   +2 more sources

Trends in microarray analysis

Nature Medicine, 2003
Microarrays permit the analysis of gene expression, DNA sequence variation, protein levels, tissues, cells and other biological and chemical molecules in a massively parallel format. Robust microarray manufacture, hybridization, detection and data analysis technologies permit novice users to adapt this exciting technology readily, and more experienced ...
Robin L, Stears   +2 more
openaire   +2 more sources

Microarray Data Analysis

2010
Gene expression profiling has revolutionized functional genomics research by providing a quick handle on all the transcriptional changes that occur in the cell in response to internal or external perturbations or developmental programs. Microarrays have become the most popular technology for recording gene expression profiles.
Saroj K, Mohapatra, Arjun, Krishnan
openaire   +2 more sources

Microarray Analysis of Sarcomas

Advances in Anatomic Pathology, 2006
Microarrays began to be used to study gene expression profiles in the mid-1990s, but it was only after 2000 that serious attempts have been made to apply this technology to investigate sarcomas. Microarray technologies provide a comprehensive survey of active molecular pathways and potential molecular targets for diagnosis and treatment, but are ...
openaire   +2 more sources

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