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Partitioning biological data with transitivity clustering

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Figure 1: Data analysis and clustering workflow.


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This work was supported by the German Academic Exchange Service (DAAD), the Boehringer Ingelheim Fonds, US National Institutes of Health grant P41-RR01081, the German Research Foundation (DFG) Graduate School (GK) 635, the German National Genome Research Network (NGFN) and the DFG-funded Cluster of Excellence for Multimodal Computing and Interaction.

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Correspondence to Jan Baumbach.

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Supplementary Figure 1, Supplementary Table 1, Supplementary Methods (PDF 667 kb)

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Wittkop, T., Emig, D., Lange, S. et al. Partitioning biological data with transitivity clustering. Nat Methods 7, 419–420 (2010).

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