Methods and Systems for Assessing the Presence of Allelic Dropout Using Machine Learning Algorithms

Michael Marciano (Inventor), Jonathan D. Adelman (Inventor)

Research output: Patent

Abstract

A system configured to characterize the probability of any allele dropout in the sequence of DNA extracted from a sample. The system includes a sample preparation module that can generate sequence data about any DNA within the sample, a processor that is programmed to receive the sequence data and determine the probability of allelic dropout in the sequence data, and an output device that provides the determination of allele dropout to a user of the system.
Original languageEnglish (US)
Priority date5/17/17
Filing date11/11/19
StatePublished - Jun 25 2020

Fingerprint

Dive into the research topics of 'Methods and Systems for Assessing the Presence of Allelic Dropout Using Machine Learning Algorithms'. Together they form a unique fingerprint.

Cite this