Methods for analyzing high dimensional data for classifying, diagnosing, prognosticating, and/or predicting diseases and other biological states
(2010) US7783431- Abstract
- A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a... (More)
- A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3a5637cd-53a6-4780-a1a6-8a5c02652e54
- inventor
- Khan, Javed
; Ringnér, Markus
LU
; Peterson, Carsten LU and Meltzer, Paul
- organization
- publishing date
- 2010-08-24
- type
- Patent
- publication status
- published
- subject
- patent number
- US7783431
- language
- English
- LU publication?
- yes
- id
- 3a5637cd-53a6-4780-a1a6-8a5c02652e54
- alternative location
- https://patents.google.com/patent/US7783431B2/
- date added to LUP
- 2021-05-25 16:53:42
- date last changed
- 2021-05-27 02:18:42
@misc{3a5637cd-53a6-4780-a1a6-8a5c02652e54, abstract = {{A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.}}, author = {{Khan, Javed and Ringnér, Markus and Peterson, Carsten and Meltzer, Paul}}, language = {{eng}}, month = {{08}}, note = {{Patent, Patent Number: US7783431}}, title = {{Methods for analyzing high dimensional data for classifying, diagnosing, prognosticating, and/or predicting diseases and other biological states}}, url = {{https://patents.google.com/patent/US7783431B2/}}, year = {{2010}}, }