A PATENT ANALYSIS IN CISTRON EDITING USING STURDY ALPHA MATCHING TECHNIQUE ON FUZZYPLOTS
This study investigates innovation in emerging technologies through both quantitative and qualitative patent analysis and citation trends. This paper deals with the cure of congential disease and emerging technology of cistron editing using sturdy alpha matching. Congential disorders are caused by cistrons when a cistron or cistrons has a problem with its code and this leads health problems. Such things happened as a mutation, deletion, translocation, an extra or missing chromosome and too few or too many sex chromosomes. There are different types of congential disorders found from the new born to teen agers. At present situation the congential disorders are cured by genome editing with many methods, like clustered regularly interspaced short palindromic repeatsclustered regularly interspaced short palindromic repeats is one of the most successful in medical field to edit the cistrons,in which is short for clustered regularly interspaced short palindromic repeats and clustered regularly interspaced short palindromic repeatsclustered regularly interspaced short palindromic repeats – associated protein 9.It creates lots of successful cistron editing in medical community since it is time wise, cost wise and more efficient than other methods. In this paper we introduce the technique of sturdy alpha matching in clustered regularly interspaced short palindromic repeatsclustered regularly interspaced short palindromic repeats – Cas 9 to provide the most efficient in cistron editing using fuzzyplots. Our findings reveal significant trends in patent activity, highlighting the most influential patents and emerging technological fields. This comprehensive approach provides valuable insights into the dynamics of innovation, guiding future research and policy – making in technology development.
Authors
- S Sarulatha
Publication Details
- Journal
- International Journal of Apllied Mathematics
- Published
- 2025-10-08
- DOI
- https://doi.org/10.12732/ijam.v38i5s.360
- Primary Topic
- Advanced Statistical Methods and Models
- Type
- article
- Field-Weighted Citation Impact
- 0.00