المؤلفون: Papagiannopoulou, Christina, Parchen, René, Waegeman, Willem

المصدر: Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019 ; ISSN: 0302-9743 ; ISSN: 1611-3349 ; ISBN: 9783030461324 ; ISBN: 9783030461331

مصطلحات موضوعية: Technology and Engineering, Biology and Life Sciences, MALDI-TOF MS, Single-cell spectrum, Single-ionization-event, Classification, Machine learning methods, SPECTROMETRY Bacterial species identification, Time series

وصف الملف: application/pdf

Relation: https://biblio.ugent.be/publication/8647039; http://hdl.handle.net/1854/LU-8647039; http://dx.doi.org/10.1007/978-3-030-46133-1_25; https://biblio.ugent.be/publication/8647039/file/8647046

الاتاحة: https://biblio.ugent.be/publication/8647039
http://hdl.handle.net/1854/LU-8647039
https://doi.org/10.1007/978-3-030-46133-1_25
https://biblio.ugent.be/publication/8647039/file/8647046

المؤلفون: Pastrana-Otero, Isamar, Majumdar, Sayani, Kraft, Mary L.

مصطلحات موضوعية: Raman spectroscopy, single-cell spectrum, hematopoietic cell, hematopoietic stem cell, multipotent progenitor cell, common myeloid progenitor, common lymphoid progenitor

الاتاحة: https://dx.doi.org/10.13012/b2idb-9950442_v1
https://databank.illinois.edu/datasets/IDB-9950442