Chapter: Edge Selection in a Noisy Graph by Concept Analysis: Application to a Genomic Network

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Home > Data Science, Learning by Latent Structures, and Knowledge Discovery > Edge Selection in a Noisy Graph by Concept Analysis: Application to a Genomic Network

Data Science, Learning by Latent Structures, and Knowledge Discovery |

Berthold Lausen; Sabine Krolak-Schwerdt; Matthias Böhmer

Springer Berlin Heidelberg

Data Science, Learning by Latent Structures, and Knowledge Discovery

Edge Selection in a Noisy Graph by Concept Analysis: Application to a Genomic Network

Chapter Info

Authors

Valentin Wucher; Denis Tagu; Jacques Nicolas

ARI Id

1664513281950_1999270

Access

Not Available Free

Pages

353-364

DOI

10.1007/978-3-662-44983-7_31

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-662-44983-7_31

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