ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH CLUSTERS
A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers. Cell profile data is generated from tissue samples drawn from a cohort of patients having an assessment related to the commonality. Multi...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Patent |
Sprache: | eng ; fre ; ger |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | MCCULLOCH, COLIN CRAIG |
description | A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers. Cell profile data is generated from tissue samples drawn from a cohort of patients having an assessment related to the commonality. Multiple sets of clusters of similar cells are generated from the data set; the proportion of cells in each cluster is examined for an association with a diagnosis, a prognosis, or a response; and a predictive set of clusters is selected based on model performance. One predictive set of clusters is selected based on a comparison of the performance of at least one model of the plurality of sets of clusters. Display techniques that aid in understanding the characteristics of a cluster are disclosed. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP2700037A2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP2700037A2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP2700037A23</originalsourceid><addsrcrecordid>eNrjZLB19HP0iYzy9HNXCPFwVXCNCAhyDQ729PdT8HdTcPL093UM8nYNClbw9FNwdvXxCVYI9wzxUHD2CQ0OAQrzMLCmJeYUp_JCaW4GBTfXEGcP3dSC_PjU4oLE5NS81JJ41wAjcwMDA2NzRyNjIpQAAPIkKZE</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH CLUSTERS</title><source>esp@cenet</source><creator>MCCULLOCH, COLIN CRAIG</creator><creatorcontrib>MCCULLOCH, COLIN CRAIG</creatorcontrib><description>A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers. Cell profile data is generated from tissue samples drawn from a cohort of patients having an assessment related to the commonality. Multiple sets of clusters of similar cells are generated from the data set; the proportion of cells in each cluster is examined for an association with a diagnosis, a prognosis, or a response; and a predictive set of clusters is selected based on model performance. One predictive set of clusters is selected based on a comparison of the performance of at least one model of the plurality of sets of clusters. Display techniques that aid in understanding the characteristics of a cluster are disclosed.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2014</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140226&DB=EPODOC&CC=EP&NR=2700037A2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140226&DB=EPODOC&CC=EP&NR=2700037A2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MCCULLOCH, COLIN CRAIG</creatorcontrib><title>ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH CLUSTERS</title><description>A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers. Cell profile data is generated from tissue samples drawn from a cohort of patients having an assessment related to the commonality. Multiple sets of clusters of similar cells are generated from the data set; the proportion of cells in each cluster is examined for an association with a diagnosis, a prognosis, or a response; and a predictive set of clusters is selected based on model performance. One predictive set of clusters is selected based on a comparison of the performance of at least one model of the plurality of sets of clusters. Display techniques that aid in understanding the characteristics of a cluster are disclosed.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2014</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLB19HP0iYzy9HNXCPFwVXCNCAhyDQ729PdT8HdTcPL093UM8nYNClbw9FNwdvXxCVYI9wzxUHD2CQ0OAQrzMLCmJeYUp_JCaW4GBTfXEGcP3dSC_PjU4oLE5NS81JJ41wAjcwMDA2NzRyNjIpQAAPIkKZE</recordid><startdate>20140226</startdate><enddate>20140226</enddate><creator>MCCULLOCH, COLIN CRAIG</creator><scope>EVB</scope></search><sort><creationdate>20140226</creationdate><title>ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH CLUSTERS</title><author>MCCULLOCH, COLIN CRAIG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP2700037A23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2014</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>MCCULLOCH, COLIN CRAIG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MCCULLOCH, COLIN CRAIG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH CLUSTERS</title><date>2014-02-26</date><risdate>2014</risdate><abstract>A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers. Cell profile data is generated from tissue samples drawn from a cohort of patients having an assessment related to the commonality. Multiple sets of clusters of similar cells are generated from the data set; the proportion of cells in each cluster is examined for an association with a diagnosis, a prognosis, or a response; and a predictive set of clusters is selected based on model performance. One predictive set of clusters is selected based on a comparison of the performance of at least one model of the plurality of sets of clusters. Display techniques that aid in understanding the characteristics of a cluster are disclosed.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng ; fre ; ger |
recordid | cdi_epo_espacenet_EP2700037A2 |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING PHYSICS |
title | ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH CLUSTERS |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T08%3A34%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=MCCULLOCH,%20COLIN%20CRAIG&rft.date=2014-02-26&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP2700037A2%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |