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PreprintAll rights reservedbioRxiv

PredIDR3: A new output-encoding scheme and abundant negative source provide more information for deep learning-based protein intrinsic disorder prediction

  • K.-S. Han
  • K. Hwang
  • S.-M. O
  • S.-J. Kim
  • P.-Z. Ri
  • M.-M. Choe
  • P. Damiano
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BibTeXRIS
BibTeX
@misc{han2026predidr3,
  title = {{PredIDR3: A new output-encoding scheme and abundant negative source provide more information for deep learning-based protein intrinsic disorder prediction}},
  author = {K.-S. Han and K. Hwang and S.-M. O and S.-J. Kim and P.-Z. Ri and M.-M. Choe and P. Damiano},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.01.748564},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.01.748564v1},
}
RIS
TY  - UNPB
TI  - PredIDR3: A new output-encoding scheme and abundant negative source provide more information for deep learning-based protein intrinsic disorder prediction
AU  - K.-S. Han
AU  - K. Hwang
AU  - S.-M. O
AU  - S.-J. Kim
AU  - P.-Z. Ri
AU  - M.-M. Choe
AU  - P. Damiano
PY  - 2026
DA  - 2026/09/01
PB  - bioRxiv
DO  - 10.64898/2026.09.01.748564
UR  - https://www.biorxiv.org/content/10.64898/2026.09.01.748564v1
ER  -