TY  - JOUR
TI  - Application of Principal Component Analysis for Gene Sequences (cDNA microarrays)
AB  - In this study, principal component analysis has been applied on data comprising of 6675 gene and20 sequence collected by using cDNA microarray technology from livers of mice used in toxicologystudies in certain time periods. Forming of gene groups from similar expression profiles and description of related genes which are implemented by similar component loads among the groups have been explained by using this cDNA technology. Besides that, interpretation and decomposition of factors (components) from correlation matrix which belongs to same data group have beenexplained. Some of the methods developed for minimizing the data set to fewer components which can explain the whole data structure have been evaluated. According to methods, if we assume that the first 9 eigen values are enough to describe the whole variance, then in this case, it is thought that it is good enough to describe the whole variance by using 9 eigen values with a variance loss of20,79% instead of describing the whole variance by using 20 eigen values.
AU  - Cebeci, Zeynel
AU  - TAHTALI, YALÇIN
DO  - 10.24925/turjaf.v8i2.279-287.2904
PY  - 2020
JO  - Türk Tarım - Gıda Bilim ve Teknoloji dergisi
VL  - 8
IS  - 2
SN  - 2148-127X
SP  - 279
EP  - 287
DB  - TRDizin
UR  - http://search/yayin/detay/365129
ER  -