Outlier analysis for microarray gene | Zendy

M Rashmi | Zendy; Manish Varshney | Zendy

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Outlier analysis for microarray gene

Author(s) -

M Rashmi,

Manish Varshney

Publication year - 2022

Publication title -

international journal of health sciences

Language(s) - English

Resource type - Journals

eISSN - 2550-6978

pISSN - 2550-696X

DOI - 10.53730/ijhs.v6ns1.5925

Subject(s) - outlier , dimensionality reduction , data mining , microarray analysis techniques , computer science , identification (biology) , anomaly detection , artificial intelligence , pattern recognition (psychology) , biology , gene , genetics , gene expression , botany

Pre-processing data is a critical component of data mining, as it comprises anomaly identification, outlier analysis, and dimensionality reduction utilising a distance-based technique. This research study demonstrates that in order to cope with scarcity difficulties in high dimensional spaces, computations should be limited to such data. A distance-based technique is seen more appropriate for the microarray-quality articulation of information delivered across many time zones.

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