Methods and systems for data analysis and feature recognition including detection of avian influenza virus
Systems and methods for automated pattern recognition and detection of avian influenza virus in a data set corresponding to an aspect of a biological sample are disclosed. The method includes receiving a first data set corresponding to a first aspect of a first biological sample, analyzing the first...
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| creator | MIDDLETON NICHOLAS LEVI DONALDSON BRYAN GLENN |
| description | Systems and methods for automated pattern recognition and detection of avian influenza virus in a data set corresponding to an aspect of a biological sample are disclosed. The method includes receiving a first data set corresponding to a first aspect of a first biological sample, analyzing the first data set using results of a first series of algorithms processed on a second data set corresponding to an aspect of a second biological sample known to contain avian influenza virus, generating an algorithm value cache for the first data set by running a second series of algorithms on the first data set, generating a match result by comparing the algorithm value cache with the results of the first series of algorithms, and performing a processing action based on the generated match result. |
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The method includes receiving a first data set corresponding to a first aspect of a first biological sample, analyzing the first data set using results of a first series of algorithms processed on a second data set corresponding to an aspect of a second biological sample known to contain avian influenza virus, generating an algorithm value cache for the first data set by running a second series of algorithms on the first data set, generating a match result by comparing the algorithm value cache with the results of the first series of algorithms, and performing a processing action based on the generated match result.</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2009</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=20090422&DB=EPODOC&CC=CN&NR=101416192A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20090422&DB=EPODOC&CC=CN&NR=101416192A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MIDDLETON NICHOLAS LEVI</creatorcontrib><creatorcontrib>DONALDSON BRYAN GLENN</creatorcontrib><title>Methods and systems for data analysis and feature recognition including detection of avian influenza virus</title><description>Systems and methods for automated pattern recognition and detection of avian influenza virus in a data set corresponding to an aspect of a biological sample are disclosed. The method includes receiving a first data set corresponding to a first aspect of a first biological sample, analyzing the first data set using results of a first series of algorithms processed on a second data set corresponding to an aspect of a second biological sample known to contain avian influenza virus, generating an algorithm value cache for the first data set by running a second series of algorithms on the first data set, generating a match result by comparing the algorithm value cache with the results of the first series of algorithms, and performing a processing action based on the generated match result.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2009</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNijsKAjEQQLexEPUO4wEEoyJYyqLYaGW_DMlEI3GyZCYL6-n9HsDqwXtvWN2OpNfkBJAdSC9KdwGfMjhUfEmMvYRv9YRaMkEmmy4cNCSGwDYWF_gCjpTsxyUP2AV8Rx8L8QOhC7nIuBp4jEKTH0fVdL8714cZtakhadESkzb1yczNyqzNZrFd_vM8AcxRQYw</recordid><startdate>20090422</startdate><enddate>20090422</enddate><creator>MIDDLETON NICHOLAS LEVI</creator><creator>DONALDSON BRYAN GLENN</creator><scope>EVB</scope></search><sort><creationdate>20090422</creationdate><title>Methods and systems for data analysis and feature recognition including detection of avian influenza virus</title><author>MIDDLETON NICHOLAS LEVI ; DONALDSON BRYAN GLENN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN101416192A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2009</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>MIDDLETON NICHOLAS LEVI</creatorcontrib><creatorcontrib>DONALDSON BRYAN GLENN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MIDDLETON NICHOLAS LEVI</au><au>DONALDSON BRYAN GLENN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Methods and systems for data analysis and feature recognition including detection of avian influenza virus</title><date>2009-04-22</date><risdate>2009</risdate><abstract>Systems and methods for automated pattern recognition and detection of avian influenza virus in a data set corresponding to an aspect of a biological sample are disclosed. 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| language | chi ; eng |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Methods and systems for data analysis and feature recognition including detection of avian influenza virus |
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