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Carsten Peterson

Expert

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

Other contributions

  • Javed Khan
  • Markus Ringnér
  • Carsten Peterson
  • Paul Meltzer

Summary, in English

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.

Avdelning/ar

  • Molecular Cell Biology
  • Computational Biology and Biological Physics

Publiceringsår

2011-11-22

Språk

Engelska

Dokumenttyp

Patent

Ämne

  • Bioinformatics and Systems Biology

Aktiv

Published