http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108461147-B

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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-70
filingDate 2018-02-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2021-06-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2021-06-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-108461147-B
titleOfInvention Prediction of spindle assembly checkpoint abnormalities in triple-negative breast cancer using lncRNA-mRNA co-expression networks
abstract The invention relates to a method for predicting abnormality of spindle assembly checkpoints in triple-negative breast cancer by using lncRNA-mRNA co-expression network, comprising the following steps: experimental grouping, RNA extraction, differential expression analysis of lncRNA chip data, and lncRNA target gene analysis and Control network construction. The method of using the lncRNA-mRNA co-expression network to predict the abnormality of the spindle assembly checkpoint in triple-negative breast cancer of the present invention provides the method for the discovery of new molecular markers of triple-negative breast cancer by predicting the abnormality of the spindle assembly checkpoint through the lncRNA-mRNA co-expression network. A new approach has been developed to provide a reference for predicting the prognosis of triple-negative breast cancer.
priorityDate 2018-02-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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