Active Agent Ranking From Multi-Marker OMICS for Cell Response
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Solution Overview
Problem
Ribonucleic acid (RNA) analysis and other OMICS analysis produce charts that are difficult to interpret due to transcriptomic heterogeneity and variability, requiring expert-level understanding and often leading to biased interpretations.
Innovation Solution
Systems and methods for scoring and ranking active agents applied to cell samples using multi-marker OMICS analysis, including gene expression models, to determine adjusted formulas based on these rankings, reducing interpretation complexity and bias.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expert users interpret OMICS analysis outputs manually, then interpretation accuracy may be maintained, but interpretation time and complexity increase significantly
Solution Approach 1:
The system enables self-service interpretation by automatically generating ranked lists of active agents based on OMICS data, eliminating the need for expert manual analysis. The automated ranking system processes transcriptomic data and delivers actionable results without requiring user expertise in omics analysis.
Solution Approach 2:
The patent replaces manual mechanical interpretation processes with automated computational algorithms. The system uses computer-generated rankings and visualizations instead of human expert analysis, substituting the mechanical process of manual data review with automated digital processing.
2Measurement precision
If manual interpretation of OMICS charts is performed, then detailed analysis can be conducted, but user bias and subjectivity increase
Solution Approach 1:
The automated ranking system performs self-service analysis without human intervention, eliminating subjective bias. The system objectively processes OMICS data through standardized algorithms, ensuring consistent and reproducible results that are not influenced by user preferences or experiences.
Solution Approach 2:
The system changes the parameter of analysis from subjective human judgment to objective computational metrics. By transforming qualitative expert interpretation into quantitative automated ranking, the system maintains detailed analysis while ensuring reliability through consistent, bias-free parameter evaluation.
3Quantity of substance
If complex OMICS analysis is performed, then comprehensive data can be obtained, but ease of operation decreases
Solution Approach 1:
The system makes comprehensive OMICS analysis self-service by automatically processing complex data and presenting simplified ranked results. Users can access comprehensive active agent efficacy data without needing to understand or manually process the underlying complex transcriptomic data, maintaining both comprehensiveness and ease of operation.
Data Source
AI summary
Systems, apparatuses, methods, and computer program products are disclosed for ranking a plurality of active agents applied to cells of interest. In an embodiment, the method may include a multi-marker genetic or OMICs analysis of a plurality of portions of treated cells, each of the portions of treated cells being treated with one or more of a plurality of active agents. The method may include determining a rank for each of the plurality of active agents for one or more selected characteristics based on application of the multi-marker OMICS analysis to an expression model for the one or more selected characteristics. The method may include determining one or more adjusted formula of a mixture including one or more of the plurality of active agents based on the rank.