Systems and methods for generating biomarker signatures with integrated bias correction and class prediction

A technology of classification sets and classifiers, applied in biostatistics, bioinformatics, relational databases, etc., can solve the problem that signatures cannot be reproduced

Active Publication Date: 2015-04-08
PHILIP MORRIS PROD SA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these early schemes faced several disadvantages
Signatures generated by these techniques are often not reproducible, since inclusion and exclusion of objects may result in different signatures
These early schemes also generate many false positive signatures and are not robust because they operate on datasets with small sample size and high dimensionality

Method used

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  • Systems and methods for generating biomarker signatures with integrated bias correction and class prediction
  • Systems and methods for generating biomarker signatures with integrated bias correction and class prediction
  • Systems and methods for generating biomarker signatures with integrated bias correction and class prediction

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Embodiment Construction

[0021] In order to provide an overall understanding of the systems and methods described herein, certain exemplary embodiments will now be described, including systems and methods for recognizing genetic biomarker signatures. However, those of ordinary skill in the art will understand that the systems, computer program products, and methods described herein can be adapted and modified for other suitable applications such as any data classification application, and such other supplements and modifications will not depart from their scope . Generally, the computerized system described herein may include one or more engines, processors, or devices, such as computers, microprocessors, or logic equipped with hardware, firmware, and software to implement one or more computerized methods described herein. equipment.

[0022] figure 1 An exemplary system 100 for identifying one or more biomarker signatures is depicted in which the classification techniques disclosed herein can be implem...

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Abstract

Described herein are systems and methods for correcting a data set and classifying the data set in an integrated manner. A training data set, a training class set, and a test data set are received. A first classifier is generated for the training data set by applying a machine learning technique to the training data set and the training class set, and a first test class set is generated by classifying the elements in the test data set according to the first classifier. For each of multiple iterations, the training data set is transformed, the test data set is transformed, and a second classifier is generated by applying a machine learning technique to the transformed training data set. A second test class set is generated according to the second classifier, and the first test class set is compared to the second test class set.

Description

[0001] Cross references to related applications [0002] This application claims the priority of US Provisional Patent Application No. 61 / 662,792 filed on June 21, 2012, entitled "SYSTEMS AND METHODS FOR GENERATING BIOMARKER SIGNATURES WITH INTEGRATED BIAS CORRECTION AND CLASS PREDICTION" in accordance with 35 USC §119. The US provisional patent application is fully incorporated here. Background technique [0003] In the field of biomedicine, it is important to identify a substance that indicates a specific biological state, that is, a biomarker. With the emergence of new technologies in genomics and proteomics, biomarkers are becoming more and more important for biological discovery, drug development, and health care. Biomarkers are not only useful for the diagnosis and prognosis of many diseases, but also useful for understanding the development basis of therapies. The successful and effective identification of biomarkers can accelerate the development of new drugs. Through th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/24G16H50/20G16B40/20
CPCG06F19/24G06F16/285G16B40/20G16H50/20G06N20/00G16B40/00
Inventor 弗洛里安·马丁向阳
Owner PHILIP MORRIS PROD SA
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