Results 311 to 320 of about 602,367 (360)
Some of the next articles are maybe not open access.

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

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 ...
Todd Martinsky   +2 more
openaire   +3 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 Kant Mohapatra, Arjun Krishnan
openaire   +3 more sources

Microarray Data Analysis Protocol

2021
Microarrays are broadly used in the omic investigation and have several areas of applications in biology and medicine, providing a significant amount of data for a single experiment. Different kinds of microarrays are available, identifiable by characteristics such as the type of probes, the surface used as support, and the method used for the target ...
Agapito G, Arbitrio M
openaire   +3 more sources

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,
M. James C. Crabbe   +2 more
openaire   +3 more sources

Pathways to the analysis of microarray data

Trends in Biotechnology, 2005
The development of microarray technology allows the simultaneous measurement of the expression of many thousands of genes. The information gained offers an unprecedented opportunity to fully characterize biological processes. However, this challenge will only be successful if new tools for the efficient integration and interpretation of large datasets ...
Curtis, R. Keira   +3 more
openaire   +3 more sources

Evolution of microarray analysis

Neurobiology of Aging, 2006
Reddy's very thorough review of the history of gene expression analysis of neurodegenerative disease made me think about the early days of microarrays, so I want to reminisce a little before commenting on the evolution of the technology and some issues that I think still continue to plague us.
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   +3 more sources

Microarray Data Analysis and Mining

2004
DNA microarray is an innovative technology for obtaining information on gene function. Because it is a high-throughput method, computational tools are essential in data analysis and mining to extract the knowledge from experimental results. Filtering procedures and statistical approaches are frequently combined to identify differentially expressed ...
SAVIOZZI, Silvia   +4 more
openaire   +6 more sources

The analysis of microarray data

Pharmacogenomics, 2003
This article describes issues, techniques and algorithms for analyzing data from microarray experiments. Each such experiment generates a large amount of data, only a fraction of which comprises significant differentially expressed genes. The precise identification of these interesting genes is heavily dependent not only on the statistical data ...
openaire   +3 more sources

Home - About - Disclaimer - Privacy