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Serial Analysis of Gene Expression Identifies Metallothionein-II as Major Neuroprotective Gene in Mouse Focal Cerebral Ischemia
We applied serial analysis of gene expression (SAGE) to study differentially expressed genes in mouse brain 14 hr after the induction of focal cerebral ischemia. Analysis of >60,000 transcriptsExpand
An algorithm for clustering cDNA fingerprints.
Clustering large data sets is a central challenge in gene expression analysis. The hybridization of synthetic oligonucleotides to arrayed cDNAs yields a fingerprint for each cDNA clone. ClusterExpand
Comparative gene expression profiling by oligonucleotide fingerprinting.
The use of hybridisation of synthetic oligonucleotides to cDNAs under high stringency to characterise gene sequences has been demonstrated by a number of groups. We have used two cDNA libraries of 9Expand
Finite sample effects in sequence analysis
Abstract This paper is devoted to the statistical analysis of symbol sequences, such as Markov strings, DNA sequences, or texts from natural languages. It is shown that entropy calculations areExpand
Exhaustive mining of EST libraries for genes differentially expressed in normal and tumour tissues.
A four-step procedure for the efficient and systematic mining of whole EST libraries for differentially expressed genes is presented. After eliminating redundant entries from the EST library underExpand
Differential gene expression by endothelial cells in distinct angiogenic states.
Angiogenesis is a complex process that can be regarded as a series of sequential events comprising a variety of tissue cells. The major problem when studying angiogenesis in vitro is the lack of aExpand
An algorithm for clustering cDNAs for gene expression analysis
TLDR
We have developed a novel algorithm for cluster analysis that is based on graph theoretic techniques. Expand
Information theoretical probe selection for hybridisation experiments
TLDR
In this paper we present an algorithm that optimises probes with respect to a training set of sequences based on Shannon entropy as a quality criterion. Expand
The modular structure of informational sequences.
TLDR
The rate to which DNA sequences can be decomposed into modules (modularity) turns out to be a very sensitive measure to distinguish DNA sequences from random sequences. Expand
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