LAFA: a framework for reproducible l ongitudinal a ssessment of protein f unction a nnotation models

An Phan, Yanli Wang, Frimpong Boadu, Jianlin Cheng, Predrag Radivojac, Iddo Friedberg

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DOI: 10.1093/bioadv/vbag221
Published: 2026
Container: Bioinformatics Advances
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bioadv/vbag221,
  title = {LAFA: a framework for reproducible
                    <u>l</u>
                    ongitudinal
                    <u>a</u>
                    ssessment of protein
                    <u>f</u>
                    unction
                    <u>a</u>
                    nnotation models},
  author = {An Phan and Yanli Wang and Frimpong Boadu and Jianlin Cheng and Predrag Radivojac and Iddo Friedberg},
  year = {2026},
  journal = {Bioinformatics Advances},
  doi = {10.1093/bioadv/vbag221},
  url = {https://doi.org/10.1093/bioadv/vbag221}
}

RIS

TY  - JOUR
TI  - LAFA: a framework for reproducible
                    <u>l</u>
                    ongitudinal
                    <u>a</u>
                    ssessment of protein
                    <u>f</u>
                    unction
                    <u>a</u>
                    nnotation models
AU  - An Phan
AU  - Yanli Wang
AU  - Frimpong Boadu
AU  - Jianlin Cheng
AU  - Predrag Radivojac
AU  - Iddo Friedberg
PY  - 2026
JO  - Bioinformatics Advances
DO  - 10.1093/bioadv/vbag221
UR  - https://doi.org/10.1093/bioadv/vbag221
ER  -

APA

Phan, A., Wang, Y., Boadu, F., Cheng, J., Radivojac, P., & Friedberg, I. (2026). LAFA: a framework for reproducible l ongitudinal a ssessment of protein f unction a nnotation models. Bioinformatics Advances. https://doi.org/10.1093/bioadv/vbag221

Source records

crossref · retrieved 2026-09-26T07:35:35.387Z

LAFA: a framework for reproducible <u>l</u> ongitudinal <u>a</u> ssessment of protein <u>f</u> unction <u>a</u> nnotation models

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APA

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