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Functional Transcription Factor Target Networks Illuminate Control of Epithelial Remodelling

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https://www.omicsdi.org/dataset/biostudies-other/S-BSST460
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The data provided relate to the development and benchmarking of the DroFN functional gene network and the NetNC algorithm, described in the paper associated with this record - https://www.mdpi.com/2072-6694/12/10/2823 The NetNC software is available on GitHub (https://github.com/overton-group/NetNC). The files available for download are summarised below: DroFN.zip - DroFN network and gold standard data (TEST-NET, TRAIN-NET) for network inference and benchmarking. HCPIN_compare.zip - HCPIN input, output and performance summary files on TEST-CL_ALL MCL_compare.zip - Preliminary training and testing data for comparison of NetNC against the MCL algorithm NetNC_TEST.zip - TEST-CL_ALL dataset used for NetNC benchmarking NetNC_TRAIN.zip - TRAIN-CL_ALL dataset used for NetNC development Please cite: Overton et al. (2020) 'Functional Transcription Factor Target Networks Illuminate Control of Epithelial Remodelling' Cancers 12, 2823
创建时间:
2020-09-30
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