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:
Feb. 21, 2012

Filed:

Dec. 21, 2007
Applicants:

David E. Heckerman, Bellevue, WA (US);

Carl M. Kadie, Bellevue, WA (US);

Jennifer Listgarten, Redmond, WA (US);

Noah Aaron Zaitlen, Venice, CA (US);

Nebojsa Jojic, Redmond, WA (US);

Inventors:

David E. Heckerman, Bellevue, WA (US);

Carl M. Kadie, Bellevue, WA (US);

Jennifer Listgarten, Redmond, WA (US);

Noah Aaron Zaitlen, Venice, CA (US);

Nebojsa Jojic, Redmond, WA (US);

Assignee:

Microsoft Corporation, Redmond, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/50 (2006.01);
U.S. Cl.
CPC ...
Abstract

Epitope prediction models are described herein. By way of example, a system for predicting epitope information relating to a epitope can include a classification model (e.g., logistic regression model). The trained classification model can illustratively operatively execute one ore logistic functions on received protein data, and incorporate one or more of hidden binary variables and shift variables that when processed represent the identification (e.g., prediction) of one or more desired epitopes. The classification model can be configured to predict the epitope information by processing data including various features of an epitope, MHC, MHC supertype, and Boolean combinations thereof.


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