Pattern recognition in lymphoid malignancies using CytoGPS and Mercator

Pattern recognition in lymphoid malignancies using CytoGPS and Mercator

Background: There have been many recent breakthroughs in processing and analyzing large-scale data sets in biomedical informatics. For example, the CytoGPS algorithm has enabled the use of text-based karyotypes by transforming them into a binary model. However, such advances are accompanied by new p...

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Bibliographic Details
Main Authors: Abrams, Z.B (Author), Abruzzo, L.V (Author), Coombes, C.E (Author), Coombes, K.R (Author), Payne, P.R.O (Author), Tally, D.G (Author), Zhang, L. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Binary models
Biomedical data
Biomedical informatics
Biomedical signal processing
chromosome aberration
Chromosome Aberrations
Chromosomes
CytoGPS
Data sparsity
hematologic disease
Hematologic Diseases
human
Humans
karyotype
Karyotype
karyotyping
Karyotyping
Large scale data sets
Lymphoid malignancies
Mercator
Multidimensional nature
neoplasm
Neoplasms
Pattern recognition
Standard of cares
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