Reply to: LncADeep performance on full-length transcripts

Reply to: LncADeep performance on full-length transcripts

To address their suggestion, as mentioned previously, we have already updated our website (http://homepage.cs.latrobe.edu.au/ypchen/ncRNAanalysis/) to include the statement “Note: In our experiments, we have used the full-length model of LncADeep” and have also included the experiments of the partia...

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Veröffentlicht in:Nature machine intelligence 2021-03, Vol.3 (3), p.196-196
Hauptverfasser: Amin, Noorul, McGrath, Annette, Chen, Yi-Ping Phoebe
Format: Artikel
Sprache:eng
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Zusammenfassung:To address their suggestion, as mentioned previously, we have already updated our website (http://homepage.cs.latrobe.edu.au/ypchen/ncRNAanalysis/) to include the statement “Note: In our experiments, we have used the full-length model of LncADeep” and have also included the experiments of the partial-length model of LncADeep. Data availability The dataset and source code are available at http://homepage.cs.latrobe.edu.au/ypchen/ncRNAanalysis/. LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property.
ISSN:2522-5839
2522-5839
DOI:10.1038/s42256-019-0107-3