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» Comparing transformation methods for DNA microarray data
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146
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WABI
2005
Springer
179views Bioinformatics» more  WABI 2005»
15 years 7 months ago
Spectral Clustering Gene Ontology Terms to Group Genes by Function
Abstract. With the invention of biotechnological high throughput methods like DNA microarrays, biologists are capable of producing huge amounts of data. During the analysis of such...
Nora Speer, Christian Spieth, Andreas Zell
134
Voted
IPPS
2009
IEEE
15 years 9 months ago
Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA
Emerging DNA sequencing technologies open up exciting new opportunities for genome sequencing by generating read data with a massive throughput. However, produced reads are signif...
Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang...
RECOMB
2008
Springer
16 years 2 months ago
A Fast, Alignment-Free, Conservation-Based Method for Transcription Factor Binding Site Discovery
As an increasing number of eukaryotic genomes are being sequenced, comparative studies aimed at detecting regulatory elements in intergenic sequences are becoming more prevalent. M...
Raluca Gordân, Leelavati Narlikar, Alexander...
BMCBI
2010
165views more  BMCBI 2010»
15 years 2 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
BMCBI
2005
124views more  BMCBI 2005»
15 years 2 months ago
Evaluating concentration estimation errors in ELISA microarray experiments
Background: Enzyme-linked immunosorbent assay (ELISA) is a standard immunoassay to estimate a protein's concentration in a sample. Deploying ELISA in a microarray format perm...
Don Simone Daly, Amanda M. White, Susan M. Varnum,...