The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 21, 2019

Filed:

Feb. 12, 2010
Applicants:

Ljubomir J. Buturovic, East Palo Alto, CA (US);

Rajeswari Pillai Tadakamalla, Sunnyvale, CA (US);

Inventors:

Ljubomir J. Buturovic, East Palo Alto, CA (US);

Rajeswari Pillai Tadakamalla, Sunnyvale, CA (US);

Assignee:

Cancer Genetics, Inc., Rutherford, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/48 (2006.01); G01N 33/574 (2006.01); G01N 33/84 (2006.01); G01N 33/483 (2006.01); G01N 33/50 (2006.01); A61N 5/10 (2006.01);
U.S. Cl.
CPC ...
G01N 33/574 (2013.01); G01N 33/4833 (2013.01); G01N 33/5035 (2013.01); G01N 33/84 (2013.01); A61N 5/1039 (2013.01); G01N 2800/52 (2013.01);
Abstract

Systems and methods are provided for identifying a set of highly-correlated genes for use in classifying both a first type of biological sample and a second type of biological sample as to a phenotypic characterization, where the first type of biological sample and the second type of biological sample are a sample type selected from the group consisting of a fresh biological sample, a frozen biological sample, a biological sample that has been preserved with a non-crosslinking preservative, and a fixed biological sample that has been fixed with a crosslinking agent, and where the first type of biological sample and the second type of biological sample are sample types that are not the same sample type. The invention also relates to computer systems and methods for use in training a classifier using the highly-correlated genes, and using the trained classifier to classify biological samples that are of the same sample type as the first type of biological sample or the second type of biological sample.


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