MACHINE LEARNING MODEL FOR RECALIBRATING GENOTYPE CALLS FROM EXISTING SEQUENCING DATA FILES

This disclosure describes methods, non-transitory computer readable media, and systems that can utilize a machine learning model to recalibrate genotype calls (e.g., variant calls) of existing sequencing data files. For instance, the disclosed systems the disclosed systems can access one or more exi...

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Bibliographische Detailangaben

Hauptverfasser:	HUANG, Zhuoyi, PARNABY, Gavin Derek, MEHIO, Rami, VISVANATH, Arun, DE BEER, Jacobus
Format:	Patent
Sprache:	eng ; fre
Schlagworte:	INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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