| |
| US Published Applications |
(WO 2005/084171) SYSTEMS AND METHODS FOR ANALYZING GENE EXPRESSION DATA FOR CLINICAL DIAGNOSTICS
15.09.2005 G01N 33/48 PCT/US2004/032007
Methods, computer program products and computer systems for constructing a classifier for classifying a specimen into a class are provided. The classifiers are models. Each model includes a plurality of tests. Each test specifies a mathematical relationship (e.g., a ratio) between the characteristics of specific cellular constituents. Each test is polled using characteristic values of these specified cellular constituents from the biological specimen to be classified. In some embodiments, each test has a positive threshold and a negative threshold. When the value of the test exceeds the positive threshold, the test polls positive. When the value of the test is below the negative threshold, the test polls negative. When the value of the test...
|
(WO 2005/042760) SYSTEMS AND METHODS FOR DETECTING BIOLOGICAL FEATURES
12.05.2005 C12Q 1/68 PCT/US2004/032006
A computer having a memory stores instructions for receiving data. The data comprises one or more characteristics for each cellular constituent in a plurality of cellular constituents that have been measured in a test organism of a species or a test biological specimen from an organism of the species. The memory further stores instructions for computing a model in a plurality of models, wherein the model is characterized by a model score that represents the likelihood of a biological feature in the test organism or the test biological specimen. Computation of the model comprises determining the model score using one or more characteristics for one or more cellular constituents in the plurality of cellular constituents. The memory also store...
|
(WO 2005/033877) KNOWLEDGE-BASED STORAGE OF DIAGNOSTIC MODELS
14.04.2005 G01N 33/48 PCT/US2004/031835
Methods, computer systems, and computer readable medium for testing a plurality of models in order to classify a biological specimen are provided. A determination is made as to whether a model precondition for a model has been satisfied. The model is skipped when the model precondition has not been satisfied. When the model precondition has been satisfied, the calculations in the model are computed. Each calculation is computed using biological specimen cellular constituent abundances in accordance with a calculation algorithm in the model. The computed calculations are aggregated in accordance with an aggregation algorithm in the model. At least one other model in the plurality of models is tested in this way. The invention also provides a...
|
|