PAGE TITLE
Overview
PAGE SUMMARY
The present invention is a new method of extracting features from an indexed dataset. The embodiment of the invention consists of two-pass variance analysis before normalization. The first variance analysis removes common characteristics from signal, thus reducing its cardinality and increasing its discriminatory power. The second analysis removes noise from the dataset, again reducing cardinality and increasing discriminatory power. The basic algorithm has been developed and tested on two sets of real data(rat liver polypeptide samples, and human serum polypeptide samples).
APPLICATIONS
TITLE: Applications
Classification of single and multi-dimensional indexed data, including but limited to mass spectra and 2-D images, such as those used by genomic pattern recognition systems and proteomic pattern recognition systems
Classification algorithms that detect diseases such as cancer and HIV
Classification algorithms that screen drugs and predict toxicity of unknown compounds
ADVANTAGES
TITLE:Advantages
Improves the accuracy of the classification algorithm
Increases the computational speed and reduces requirements on computational machinery performing the classification
IP STATUS
Intellectual Property and Development Status
United States Patent Issued - 8,010,296
http://patft1.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=8010296.PN.&OS=PN/8010296&RS=PN/8010296
Contact Information
Robert McGrath
Sr. Associate Vice Provost
215-895-0303
rbm26@drexel.edu