Model and modeling for predicting a hepatitis B patient to response to interferon treatment

By genotyping analysis in combination with Monte-Carlo estimation, a model for predicting an hepatitis B patient to response to interferon treatment is constructed. With this model, by selecting STR markers combination, the hepatitis B patients are divided into three groups comprising high response...

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Hauptverfasser:	LAI MING-YANG, CHEN DING-SHINN, YEH SHIOU-HWEI, CHEN PEI-JER, YU JULIA KUEI TING, LIN CHERRY GUAN JU, HUANG LICHIH, WU LAWRENCE SHIH HSIN
Format:	Patent
Sprache:	eng
Schlagworte:	BEER BIOCHEMISTRY CALCULATING CHEMISTRY COMPOSITIONS OR TEST PAPERS THEREFOR COMPUTING CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES COUNTING DERIVATIVES THEREOF ELECTRIC DIGITAL DATA PROCESSING ENZYMOLOGY 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 NUCLEIC ACIDS NUCLEOSIDES NUCLEOTIDES ORGANIC CHEMISTRY PHYSICS PROCESSES OF PREPARING SUCH COMPOSITIONS SPIRITS SUGARS VINEGAR WINE
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Beschreibung
Zusammenfassung:	By genotyping analysis in combination with Monte-Carlo estimation, a model for predicting an hepatitis B patient to response to interferon treatment is constructed. With this model, by selecting STR markers combination, the hepatitis B patients are divided into three groups comprising high response rate, ambiguous, and low response rate, respectively, and hence, predictions of treatment response for HBV patients, especially for interferon therapy, are obtained.