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Method and system for selecting, managing, and analyzing data of high dimensionality

A readout, quantitative technique used in the field of selecting, managing, and analyzing high-dimensional data and systems

Pending Publication Date: 2020-11-27
SDG OPS +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Despite the potential to obtain sequence reads of the entire human genome, much sequencing data encodes information irrelevant to disease diagnosis and prognosis

Method used

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  • Method and system for selecting, managing, and analyzing data of high dimensionality
  • Method and system for selecting, managing, and analyzing data of high dimensionality
  • Method and system for selecting, managing, and analyzing data of high dimensionality

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0377] Comparison of B-scores and Z-scores

[0378] Figure 8 A table is included that compares the method of the present disclosure (b-score) with prior known segmentation methods (z-score). The data showed that the overall predictive power of b-scores was consistently higher than that of z-scores across all stages of breast cancer samples.

[0379] Figure 9 A more detailed example comparing categorical scores (z-score: top; b-score: bottom) for individual subjects with breast cancer is provided. Likewise, using the b-score, the cancer status of more subjects could be correctly predicted at all different stages of invasive breast cancer.

Embodiment 2

[0381] different types of cancer

[0382] Figure 10 It is shown that for all types of cancer an improved predictive power using b-scores can be observed (top). The predictive power improved for early-stage cancers and was particularly good for late-stage cancers (bottom).

[0383] ] Figure 11A It is shown that improvement can be observed in subjects with lung cancer (top) and prostate cancer (bottom). Figure 11B It has been shown that improvement can be observed in subjects with colorectal cancer.

Embodiment 3

[0385] Development of plasma cell-free DNA (cfDNA) assays for early cancer detection: initial insights from the circulating cell-free genome atlas study (CCGA)

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PUM

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Abstract

A system, method and computer program product for analyzing data of high dimensionality (e.g., sequence reads of nucleic acid samples in connection with a disease condition) are provided.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to U.S. Patent Provisional Application No. 62 / 642,461, filed March 13, 2018, the disclosure of which is incorporated herein by reference. technical field [0003] The present invention relates to a method, system and computer program product for selecting and analyzing high-dimensional biological data, especially for nucleic acid sequencing data obtained using next-generation sequencing techniques. Background technique [0004] Modern developments in biology, especially next-generation sequencing technologies, have generated vast amounts of data. However, combing the data for useful and helpful information remains a great challenge, especially when such useful and helpful information is required for disease diagnosis and prognosis. For example, the human genome includes more than 3 billion base pairs of nucleic acid sequence. Despite the potential to obtain sequence reads of the enti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B30/10
CPCG16B30/10G16B40/20G16B40/30G16B20/00
Inventor 达莉亚·菲利波娃安东·瓦卢耶夫弗吉尔·尼古拉卡蒂克·贾加迪什M·赛勒斯·马厄马修·H·拉森莫妮卡·波特拉·朵斯·桑托斯·皮门特尔罗伯特·安倍·潘恩·卡列夫
Owner SDG OPS
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