Liver cancer patient survival prediction model construction method based on cell death related genes
The invention specifically discloses a hepatocellular carcinoma patient survival prediction model construction method based on cell death related genes. The method comprises the following steps: S1, constructing a preliminary hepatocellular carcinoma patient survival risk score prediction model; s2,...
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| creator | LI JIAPING ZHANG GUIXIONG |
| description | The invention specifically discloses a hepatocellular carcinoma patient survival prediction model construction method based on cell death related genes. The method comprises the following steps: S1, constructing a preliminary hepatocellular carcinoma patient survival risk score prediction model; s2, a public database TCGA is used as a training set, and genes are expressed on the basis of differential expression related to three novel programmed cell death including cell autophagy, cell ferroptosis and pyroptosis; s3, determining a gene related to the lifetime through single-factor Cox regression analysis; s4, screening the genes related to the lifetime through multi-factor Cox regression analysis, and training to obtain a final hepatocellular carcinoma patient survival risk score prediction model; and S5, calculating a risk index according to the gene related expression quantity and the risk related coefficient, and analyzing and performing external verification. According to the method, the survival of the h |
| format | Patent |
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The method comprises the following steps: S1, constructing a preliminary hepatocellular carcinoma patient survival risk score prediction model; s2, a public database TCGA is used as a training set, and genes are expressed on the basis of differential expression related to three novel programmed cell death including cell autophagy, cell ferroptosis and pyroptosis; s3, determining a gene related to the lifetime through single-factor Cox regression analysis; s4, screening the genes related to the lifetime through multi-factor Cox regression analysis, and training to obtain a final hepatocellular carcinoma patient survival risk score prediction model; and S5, calculating a risk index according to the gene related expression quantity and the risk related coefficient, and analyzing and performing external verification. According to the method, the survival of the h</description><language>chi ; eng</language><subject>BEER ; BIOCHEMISTRY ; CHEMISTRY ; COMPOSITIONS OR TEST PAPERS THEREFOR ; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES ; ENZYMOLOGY ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS ; METALLURGY ; MICROBIOLOGY ; MUTATION OR GENETIC ENGINEERING ; PHYSICS ; PROCESSES OF PREPARING SUCH COMPOSITIONS ; SPIRITS ; VINEGAR ; WINE</subject><creationdate>2022</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=20220906&DB=EPODOC&CC=CN&NR=115019965A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220906&DB=EPODOC&CC=CN&NR=115019965A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI JIAPING</creatorcontrib><creatorcontrib>ZHANG GUIXIONG</creatorcontrib><title>Liver cancer patient survival prediction model construction method based on cell death related genes</title><description>The invention specifically discloses a hepatocellular carcinoma patient survival prediction model construction method based on cell death related genes. The method comprises the following steps: S1, constructing a preliminary hepatocellular carcinoma patient survival risk score prediction model; s2, a public database TCGA is used as a training set, and genes are expressed on the basis of differential expression related to three novel programmed cell death including cell autophagy, cell ferroptosis and pyroptosis; s3, determining a gene related to the lifetime through single-factor Cox regression analysis; s4, screening the genes related to the lifetime through multi-factor Cox regression analysis, and training to obtain a final hepatocellular carcinoma patient survival risk score prediction model; and S5, calculating a risk index according to the gene related expression quantity and the risk related coefficient, and analyzing and performing external verification. According to the method, the survival of the h</description><subject>BEER</subject><subject>BIOCHEMISTRY</subject><subject>CHEMISTRY</subject><subject>COMPOSITIONS OR TEST PAPERS THEREFOR</subject><subject>CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES</subject><subject>ENZYMOLOGY</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS</subject><subject>METALLURGY</subject><subject>MICROBIOLOGY</subject><subject>MUTATION OR GENETIC ENGINEERING</subject><subject>PHYSICS</subject><subject>PROCESSES OF PREPARING SUCH COMPOSITIONS</subject><subject>SPIRITS</subject><subject>VINEGAR</subject><subject>WINE</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNikEKwjAUBbtxIeodvgcQDFKhy1IUF-LKffkmTxuISUh-c36z6AFcDTPMujF3W5BIs9cVkcXCC-U5FVvYUUwwVosNnr7BwJEOPkualwSZgqEXZxiqruEcGbBMlOBYav3AI2-b1Ztdxm7hptlfL8_hdkAMI3JkXS8Zh4dS7VF13bntT_88PyTYPzc</recordid><startdate>20220906</startdate><enddate>20220906</enddate><creator>LI JIAPING</creator><creator>ZHANG GUIXIONG</creator><scope>EVB</scope></search><sort><creationdate>20220906</creationdate><title>Liver cancer patient survival prediction model construction method based on cell death related genes</title><author>LI JIAPING ; ZHANG GUIXIONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115019965A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>BEER</topic><topic>BIOCHEMISTRY</topic><topic>CHEMISTRY</topic><topic>COMPOSITIONS OR TEST PAPERS THEREFOR</topic><topic>CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES</topic><topic>ENZYMOLOGY</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS</topic><topic>METALLURGY</topic><topic>MICROBIOLOGY</topic><topic>MUTATION OR GENETIC ENGINEERING</topic><topic>PHYSICS</topic><topic>PROCESSES OF PREPARING SUCH COMPOSITIONS</topic><topic>SPIRITS</topic><topic>VINEGAR</topic><topic>WINE</topic><toplevel>online_resources</toplevel><creatorcontrib>LI JIAPING</creatorcontrib><creatorcontrib>ZHANG GUIXIONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI JIAPING</au><au>ZHANG GUIXIONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Liver cancer patient survival prediction model construction method based on cell death related genes</title><date>2022-09-06</date><risdate>2022</risdate><abstract>The invention specifically discloses a hepatocellular carcinoma patient survival prediction model construction method based on cell death related genes. The method comprises the following steps: S1, constructing a preliminary hepatocellular carcinoma patient survival risk score prediction model; s2, a public database TCGA is used as a training set, and genes are expressed on the basis of differential expression related to three novel programmed cell death including cell autophagy, cell ferroptosis and pyroptosis; s3, determining a gene related to the lifetime through single-factor Cox regression analysis; s4, screening the genes related to the lifetime through multi-factor Cox regression analysis, and training to obtain a final hepatocellular carcinoma patient survival risk score prediction model; and S5, calculating a risk index according to the gene related expression quantity and the risk related coefficient, and analyzing and performing external verification. According to the method, the survival of the h</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | BEER BIOCHEMISTRY CHEMISTRY COMPOSITIONS OR TEST PAPERS THEREFOR CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES ENZYMOLOGY HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS METALLURGY MICROBIOLOGY MUTATION OR GENETIC ENGINEERING PHYSICS PROCESSES OF PREPARING SUCH COMPOSITIONS SPIRITS VINEGAR WINE |
| title | Liver cancer patient survival prediction model construction method based on cell death related genes |
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