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Integrate Multiple Hypothesis Tests to Control False Discovery Rate (FDR)

Technology Benefits

Betterperformance in analyzing high-dimensional data & identifying subtle yetmeaningful changes.

Technology Application

Can be practiced and accommodated in fields including biotech, healthcare, pharmaceutical, and finance.

Detailed Technology Description

False discovery rate (FDR) control is essentialfor identifying significant features in analyzing high dimensional datasets(e.g., genome-wide datasets). Conventional FDR controlling methods use singlestatistical hypothesis tests to call significant features. Each statisticaltest has its own advantages in picking up different aspects of differentialinformation between two populations. To fully utilize the advantages ofdifferent statistical tests, this invention discloses an integrated statistic Composite-Index that combines multiplestatistical tests, and formulates FDR control as an optimization problem. Thisinvention also develops an algorithm, named as Composite-Cut, which implements a special case of the aboveconcept.

Countries

United States

Application No.

15/518,403

Country/Region

USA

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