@misc{indiciae96cb0ddffc51,
  title = {Data for FUN-PROSE: A Deep Learning Approach to Predict Condition-Specific Gene Expression in Fungi},
  author = {Nambiar, Ananthan [Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America; Carl R. Woese Institute for Genomic Biology, Urbana, Illinois, United States of America] (ORCID:0000000297679456) and Dubinkina, Veronika [Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America; Carl R. Woese Institute for Genomic Biology, Urbana, Illinois, United States of America; The Gladstone Institute of Data Science and Biotechnology, San Francisco, California, United States of America] (ORCID:0000000248446795) and Liu, Simon [Carl R. Woese Institute for Genomic Biology, Urbana, Illinois, United States of America,; Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America] and Maslov, Sergei [Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America; Carl R. Woese Institute for Genomic Biology, Urbana, Illinois, United States of America; Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, Illinois, United States of America; Department of Physics, University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America] (ORCID:000000023701492X)},
  year = {2026},
  doi = {10.13012/b2idb-4050613\_v1},
  url = {https://www.osti.gov/biblio/3029960},
  note = {Source identifier: 3029960}
}