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]

Abstract

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