Persistent URL of this record https://hdl.handle.net/1887/3731624
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KidneyNetwork: using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease
- All authors
- Boulogne, F.; Claus, L.R.; Wiersma, H.; Oelen, R.; Schukking, F.; Klein, N. de; Li, S.; Westra, H.J.; Zwaag, B. van der; Reekum, F. van; Sierks, D.; Schönauer, R.; Li, Z.G.; Bijlsma, E.K.; Bos, W.J.W.; Halbritter, J.; Knoers, N.V.A.M.; Besse, W.; Deelen, P.; Franke, L.; Eerde, A.M. van; Genomics England Res Consortium
- Date
- 2023-02-20
- Volume
- 31
- Pages
- 1300 - 1308