Open AccessOutlier analysis for microarray gene
Author(s) -
M Rashmi,
Manish Varshney
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
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.