BibTeX Export for Perplexity: Evaluating Transcript Abundance Estimation in the Absence of Ground Truth

Copy to Clipboard Download

@InProceedings{fan_et_al:LIPIcs.WABI.2021.4,
  author =	{Fan, Jason and Chan, Skylar and Patro, Rob},
  title =	{{Perplexity: Evaluating Transcript Abundance Estimation in the Absence of Ground Truth}},
  booktitle =	{21st International Workshop on Algorithms in Bioinformatics (WABI 2021)},
  pages =	{4:1--4:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-200-6},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{201},
  editor =	{Carbone, Alessandra and El-Kebir, Mohammed},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.WABI.2021.4},
  URN =		{urn:nbn:de:0030-drops-143578},
  doi =		{10.4230/LIPIcs.WABI.2021.4},
  annote =	{Keywords: RNA-seq, transcript abundance estimation, model selection}
}

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode