MACHINE-LEARNING MODELS FOR DETECTING AND ADJUSTING VALUES FOR NUCLEOTIDE METHYLATION LEVELS

This disclosure describes methods, non-transitory computer readable media, and systems that can use a machine-learning to determine factors or scores indicating an error level with which a given methylation assay detects methylation of cytosine bases. For instance, the disclosed systems use a machin...

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Bibliographische Detailangaben

Hauptverfasser:	ALMASI, Sepideh, EBERLE, Michael, SHULTZABERGER, Sarah E, MANZO, Andrea, NORBERG, Steven, DOLZHENKO, Egor, MATHONET, Pascale, GUERRERO, Luis Fernando Camarillo, BROWN, Colin, ROHRBACK, Suzanne
Format:	Patent
Sprache:	eng
Schlagworte:	INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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