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.
Patent No.:
Date of Patent:
Nov. 27, 2012
Filed:
Jun. 04, 2004
Quang Tran, Fremont, CA (US);
Glenda G. Anderson, San Jose, CA (US);
Alejandrina Pattin, Orlando, FL (US);
Cheryl Kay Hornbaker, Denver, CO (US);
Quang Tran, Fremont, CA (US);
Glenda G. Anderson, San Jose, CA (US);
Alejandrina Pattin, Orlando, FL (US);
Cheryl Kay Hornbaker, Denver, CO (US);
Pathwork Diagnostics, Inc., Sunnyvale, CA (US);
Abstract
Methods, computer systems, and computer readable medium for testing a plurality of models in order to classify a biological specimen. A determination is made as to whether a model precondition associated with a model in the plurality of models has been satisfied. The model is skipped when the model precondition has not been satisfied. When the model precondition has been satisfied, the first model is tested by selecting a calculation from the first model. The selected calculation is computed using cellular constituent abundance values from the biological specimen in accordance with a calculation algorithm set forth in the selected model. This selecting and computing is repeated for one or more calculations in the selected model. Then, each of these calculations is aggregated in accordance with an aggregation algorithm associated with the selected model. These steps are repeated for at least one other model in the plurality of models. A computer medium comprising a classifier for classifying a biological specimen into a biological sample class that includes one or more models. Each of the one or more models comprises (i) an optional model precondition, (ii) a calculation algorithm, (iii) a plurality of calculations, and (iv) a calculation aggregation algorithm.