Moreno, M., Vilaça, R., & Ferreira, P. G. (2022). Scalable transcriptomics analysis with Dask: applications in data science and machine learning. BMC Bioinformatics, 23(1), 1-20. https://doi.org/10.1186/s12859-022-05065-3
ISO-690 (author-date, English)MORENO, Marta, VILAÇA, Ricardo und FERREIRA, Pedro G., 2022. Scalable transcriptomics analysis with Dask: applications in data science and machine learning. BMC Bioinformatics. 30 November 2022. Vol. 23, no. 1, p. 1-20. DOI 10.1186/s12859-022-05065-3.
Modern Language Association 9th editionMoreno, M., R. Vilaça, und P. G. Ferreira. „Scalable Transcriptomics Analysis With Dask: Applications in Data Science and Machine Learning.“. BMC Bioinformatics, Bd. 23, Nr. 1, November 2022, S. 1-20, https://doi.org/10.1186/s12859-022-05065-3.
Mohr Siebeck - Recht (Deutsch - Österreich)Moreno, Marta/Vilaça, Ricardo/Ferreira, Pedro G.: Scalable transcriptomics analysis with Dask: applications in data science and machine learning., BMC Bioinformatics 2022, 1-20.
Emerald - HarvardMoreno, M., Vilaça, R. und Ferreira, P.G. (2022), „Scalable transcriptomics analysis with Dask: applications in data science and machine learning.“, BMC Bioinformatics, Vol. 23 No. 1, S. 1-20.