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Serial Analysis of Gene Expression Identifies Metallothionein-II as Major Neuroprotective Gene in Mouse Focal Cerebral Ischemia
TLDR
The results demonstrate the usefulness of SAGE to screen functionally relevant genes and the power of knock-out models in linking function to expression data generated by high throughput techniques and underscore the important protective role of metallothioneins in ischemic damage of the brain.
An algorithm for clustering cDNA fingerprints.
TLDR
A novel algorithm for cluster analysis that is based on graph theoretic techniques, which does not assume that the clusters are hierarchically structured and does not require prior knowledge on the number of clusters is developed.
Comparative gene expression profiling by oligonucleotide fingerprinting.
TLDR
This study demonstrates the utility of the fingerprinting approach for the generation of comparative gene expression profiles through the analysis of cDNAs derived from different biological materials.
Differential gene expression by endothelial cells in distinct angiogenic states.
TLDR
A broad range of genes already known to play an important role during angiogenesis like Flt1 or TIE2 are put into the context of endothelial cell differentiation, and the set of matrix metalloproteases expressed and regulated by endothelial cells is extended.
Estimating the entropy of DNA sequences.
TLDR
It seems as if DNA sequences possess much more freedom in the combination of the symbols of their alphabet than written language or computer source codes.
An algorithm for clustering cDNAs for gene expression analysis
TLDR
A novel algorithm for cluster analysis that is based on graph theoretic techniques that produces a clustering with some provably good properties for gene expression analysis, where a collection of cDNAs must be clustered based on their oligonucleotide fingerprints.
Exhaustive mining of EST libraries for genes differentially expressed in normal and tumour tissues.
TLDR
A four-step procedure for the efficient and systematic mining of whole EST libraries for differentially expressed genes is presented, and an attempt is made to characterise the contigs obtained in the assembly through database comparison.
Information theoretical probe selection for hybridisation experiments
TLDR
An algorithm is presented that optimises probes with respect to a training set of sequences based on Shannon entropy as a quality criterion for oligonucleotide fingerprinting, a method for the simultaneous identification of sequences by their hybridisation tags according to a set of short probes.
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