Cargando…
Anomaly detection in mixed high-dimensional molecular data
MOTIVATION: Mixed molecular data combines continuous and categorical features of the same samples, such as OMICS profiles with genotypes, diagnoses, or patient sex. Like all high-dimensional molecular data, it is prone to incorrect values that can stem from various sources for example the technical...
Autores principales: | Buck, Lena, Schmidt, Tobias, Feist, Maren, Schwarzfischer, Philipp, Kube, Dieter, Oefner, Peter J, Zacharias, Helena U, Altenbuchinger, Michael, Dettmer, Katja, Gronwald, Wolfram, Spang, Rainer |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457663/ https://www.ncbi.nlm.nih.gov/pubmed/37584673 http://dx.doi.org/10.1093/bioinformatics/btad501 |
Ejemplares similares
-
Cooperative STAT/NF-κB signaling regulates lymphoma metabolic reprogramming and aberrant GOT2 expression
por: Feist, Maren, et al.
Publicado: (2018) -
An R-Package for the Deconvolution and Integration of 1D NMR Data: MetaboDecon1D
por: Häckl, Martina, et al.
Publicado: (2021) -
A multi-source data integration approach reveals novel associations between metabolites and renal outcomes in the German Chronic Kidney Disease study
por: Altenbuchinger, Michael, et al.
Publicado: (2019) -
Statistical Analysis of NMR Metabolic Fingerprints: Established Methods and Recent Advances
por: Zacharias, Helena U., et al.
Publicado: (2018) -
Platform independent protein-based cell-of-origin subtyping of diffuse large B-cell lymphoma in formalin-fixed paraffin-embedded tissue
por: Reinders, Jörg, et al.
Publicado: (2020)