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020 | _ | _ | |a 978-3-031-08411-9 |
024 | 7 | _ | |2 doi |a 10.1007/978-3-031-08411-9_12 |
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037 | _ | _ | |a DZNE-2023-00414 |
082 | _ | _ | |a 620.00285 |
100 | 1 | _ | |0 P:(DE-2719)2810719 |a Dörpinghaus, Jens |b 0 |e First author |u dzne |
245 | _ | _ | |a Network Analysis: Bringing Graphs to Java |
250 | _ | _ | |a 1st ed. 2022 |
260 | _ | _ | |a Cham |b Springer |c 2022 |
295 | 1 | 0 | |a [Ebook] Computational Life Sciences : Data Engineering and Data Mining for Life Sciences / Dörpinghaus, Jens ; Weil, Vera ; Schaaf, Sebastian ; Apke, Alexander 1st ed. 2022, Cham : Springer International Publishing, 2022, |
300 | _ | _ | |a 327-359 |
336 | 7 | _ | |2 ORCID |a BOOK_CHAPTER |
336 | 7 | _ | |0 7 |2 EndNote |a Book Section |
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336 | 7 | _ | |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |a Contribution to a book |b contb |m contb |s 1683791975_30877 |
490 | 0 | _ | |a Studies in Big Data |v 112 |
520 | _ | _ | |a Network structures play an important role in life sciences and data representation. For example, they are used within biological and social networks, protein interaction networks. In this chapter, we introduce the analysis of graph structures with Java. In particular, we discuss directed and undirected graphs, random graphs and interaction networks. |
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650 | _ | 0 | |a Engineering—Data processing |
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650 | _ | 0 | |a Computational intelligence |
700 | 1 | _ | |0 P:(DE-HGF)0 |a Weil, Vera |b 1 |
700 | 1 | _ | |0 P:(DE-2719)9002247 |a Schaaf, Sebastian |b 2 |u dzne |
700 | 1 | _ | |0 P:(DE-HGF)0 |a Apke, Alexander |b 3 |
773 | _ | _ | |a 10.1007/978-3-031-08411-9 |
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914 | 1 | _ | |y 2022 |
920 | 1 | _ | |0 I:(DE-2719)1011001 |k AG Klockgether |l Clinical Research Coordination |x 0 |
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