Screening and analysis method, platform, server and system for disease biomarkers

Abstract

The present invention proposes a screening and analysis method, platform, server and system for disease biomarkers, wherein the screening and analysis method for disease biomarkers includes: receiving an analysis instruction, the analysis instruction includes sample screening conditions and analysis program parameters; screening according to the sample Obtain the clinical information of the sample to be analyzed corresponding to the sample screening conditions, and obtain the associated biological information according to the clinical information of the sample to be analyzed; send the clinical information of the sample to be analyzed, the associated biological information, and the analysis program parameters to the server , to analyze the clinical information and associated biological information of the sample to be analyzed; receive the analysis results returned by the server, and perform a significance test on the analysis results; if the analysis results are not significant, reset the filter conditions and analyze again until the analysis results Significantly. This method provides a platform for connecting clinical information and genomic information for genomics research, which is beneficial to large-scale gene verification experiments.

Description

technical field [0001] The invention relates to the technical field of biological information, in particular to a method, platform, server and system for screening and analyzing disease biomarkers. Background technique [0002] With the continuous development of computer technology and the continuous optimization of statistical algorithms, clinical medical diagnosis data and uncertain ambiguous data in experiments have been gradually analyzed and processed by methods such as probability theory, statistics and decision analysis. Especially after the widespread use of HIS (Hospital Information System, hospital information system) and PACS (Picture Archiving and Communication Systems, image archiving and communication system), these methods have more effectively promoted the progress of clinical diagnosis, treatment efficiency and effect. Now electronic medical records, expert diagnosis and decision-making systems, virtual hospitals, telemedicine and medical education are chang...

AI Technical Summary

Problems solved by technology

Therefore, the relationship between individual phenotype information and disease can only be used, but no further relationship between genes and disease can be found

In addition, most of the current clinical information databases are established and used within a certain range, such as between one or several cooperative hospitals, but they are difficult to share in the entire medical system, which is not conducive to the diagnosis and treatment of diseases based on diverse data. to analyze

Therefore, the reason why the current clinical information database and analysis methods are difficult to maximize is that various clinical observation data are used for medical analysis, which is not conducive to clinical diagnosis, which makes it difficult to improve the efficiency and effect of treatment.

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