Jo Rg Lange's research while affiliated with Max Planck Institute for Molecular Genetics and other places

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Publications (1)


An Algorithm for Clustering cDNA Fingerprints
  • Article

July 2000

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933 Reads

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97 Citations

Genomics

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Jo Rg Lange

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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. Cluster analysis of these fingerprints can identify clones corresponding to the same gene. We have developed a novel algorithm for cluster analysis that is based on graph theoretic techniques. Unlike other methods, it does not assume that the clusters are hierarchically structured and does not require prior knowledge on the number of clusters. In tests with simulated libraries the algorithm outperformed the Greedy method and demonstrated high speed and robustness to high error rate. Good solution quality was also obtained in a blind test on real cDNA fingerprints.

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Citations (1)


... Finding structure in networks, known as community detection, or clustering, has a wide range of biomedical applications. [1][2][3] Recently, clustering algorithms have been applied in the context of Identity-By-Descent (IBD) mapping 4,5 as an alternative approach for rare variant association testing that leverages genotype data in the absence of directly observed variation for genomic discovery. This method relies on shared haplotypes along the genome co-inherited identically from a recent common ancestor and utilizes them as the basis for association testing, under the assumption that the haplotypes may co-harbour recently arisen rare variation not directly captured on genotyping arrays. ...

Reference:

Selecting Clustering Algorithms for Identity-By-Descent Mapping
An Algorithm for Clustering cDNA Fingerprints
  • Citing Article
  • July 2000

Genomics