S^2FS : Single Score Feature Selection Applied to the Problem of Distinguishing Long Non-coding RNAs from Protein Coding Transcripts

Bruno C. Kümmel, André C. P. L. F. de Carvalho, Marcelo M. Brigido, Célia Ghedini Ralha, Maria Emilia M. T. Walter. S^2FS : Single Score Feature Selection Applied to the Problem of Distinguishing Long Non-coding RNAs from Protein Coding Transcripts. In Ronnie Alves, editor, Advances in Bioinformatics and Computational Biology - 11th Brazilian Symposium on Bioinformatics, BSB 2018, Niterói, Brazil, October 30 - November 1, 2018, Proceedings. Volume 11228 of Lecture Notes in Computer Science, pages 103-113, Springer, 2018. [doi]

@inproceedings{KummelCBRW18,
  title = {S^2FS : Single Score Feature Selection Applied to the Problem of Distinguishing Long Non-coding RNAs from Protein Coding Transcripts},
  author = {Bruno C. Kümmel and André C. P. L. F. de Carvalho and Marcelo M. Brigido and Célia Ghedini Ralha and Maria Emilia M. T. Walter},
  year = {2018},
  doi = {10.1007/978-3-030-01722-4_10},
  url = {https://doi.org/10.1007/978-3-030-01722-4_10},
  researchr = {https://researchr.org/publication/KummelCBRW18},
  cites = {0},
  citedby = {0},
  pages = {103-113},
  booktitle = {Advances in Bioinformatics and Computational Biology - 11th Brazilian Symposium on Bioinformatics, BSB 2018, Niterói, Brazil, October 30 - November 1, 2018, Proceedings},
  editor = {Ronnie Alves},
  volume = {11228},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-01722-4},
}