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Methods for analyzing high dimensional data for classifying, diagnosing, prognosticating, and/or predicting diseases and other biological states

Khan, Javed ; Ringnér, Markus LU orcid ; Peterson, Carsten LU and Meltzer, Paul (2010) US7774143
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)
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inventor
Khan, Javed ; LU orcid ; LU and Meltzer, Paul
organization
publishing date
type
Patent
publication status
published
subject
patent number
US7774143
language
English
LU publication?
yes
id
402c55e9-ed0e-48b8-8c4a-d8a635bed2fc
alternative location
https://patents.google.com/patent/US7774143B2/
date added to LUP
2021-05-25 16:48:23
date last changed
2021-05-27 02:18:41
@misc{402c55e9-ed0e-48b8-8c4a-d8a635bed2fc,
  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: US7774143}},
  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/US7774143B2/}},
  year         = {{2010}},
}