Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA
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ABNT
KÜMMEL, Bruno C et al. 'S POT.2' FS: single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-01722-4_10. Acesso em: 11 nov. 2024. , 2018APA
Kümmel, B. C., Carvalho, A. C. P. de L. F. de, Brigido, M. M., Ralha, C. G., & Walter, M. E. M. T. (2018). 'S POT.2' FS: single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-01722-4_10NLM
Kümmel BC, Carvalho ACP de LF de, Brigido MM, Ralha CG, Walter MEMT. 'S POT.2' FS: single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts [Internet]. Lecture Notes in Bioinformatics. 2018 ; 11228 103-113.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-01722-4_10Vancouver
Kümmel BC, Carvalho ACP de LF de, Brigido MM, Ralha CG, Walter MEMT. 'S POT.2' FS: single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts [Internet]. Lecture Notes in Bioinformatics. 2018 ; 11228 103-113.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-01722-4_10