Hierarchical statistical framework for separating mixed data

Details Hierarchical statistical framework for separating mixed data Hierarchical statistical framework for separating mixed data

2006-03-31

2010-11-23

Clow, Lori A (Department: 1631)

Data processing: measuring, calibrating, or testing

Measurement system in a specific environment

Biological or biochemical

C702S019000

Reexamination Certificate

active

07840358

ABSTRACT:
A hierarchical statistical framework for separating mixed data is provided. The approach is a shift from chaining hard-decision modules to an integrated soft-decision approach. The framework facilitates separating, for instance, sequencing data obtained from a mixture of two or more different sequences. The sequencing data can be separated using machine learning techniques to determine the correspondence between the sequencing data and the two or more different sequences.

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