Yıl: 2020 Cilt: 8 Sayı: 2 Sayfa Aralığı: 279 - 287 Metin Dili: İngilizce DOI: 10.24925/turjaf.v8i2.279-287.2904 İndeks Tarihi: 16-10-2020

Application of Principal Component Analysis for Gene Sequences (cDNA microarrays)

Öz:
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.
Anahtar Kelime:

Gen Dizilerinde (cDNA Mikroarray) Temel Bileşenler Analizinin Uygulanması

Öz:
Bu çalışmada, farelerin karaciğerleri üzerine belirli zaman periyotlarında uygulanmış olan, toksikolojik çalışmalardan alınan ve cDNA mikrodizi teknolojisi kullanılarak elde edilen 6675 gen ve 20 dizi içeren verilere temel bileşenler analizi uygulanmıştır. cDNA teknolojisi kullanılarak, birbirine benzer ifade profilleri ile gen gruplarının oluşturulması ve gruplar içerisindeki benzer bileşen (component) yükleri vasıtasıyla birbirleriyle ilişkili genlerin tanımlanması açıklanmıştır. Bunun yanı sıra aynı veri kümesine ait korelasyon matrisinden faktörlerin ayrıştırılması ve yorumu hakkında bilgiler verilmiştir. Kullanılan veri seti içinde, bütün veri yapısın izah edebilecek daha az sayıda bileşene indirgemek için temel bileşen sayısına karar verme yöntemlerinden birkaçı değerlendirilmiştir. Bu yöntemlere göre ilk 9 temel bileşenin bütün yapının varyansını açıklamaya yeterli olduğu düşünülürse bu durumda %20,79 oranında bir varyans kaybı ile 20 temel bileşen yerine 9 temel bileşen ile açıklamanın yeterli olduğu düşünülmektedir.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA TAHTALI Y, Cebeci Z (2020). Application of Principal Component Analysis for Gene Sequences (cDNA microarrays). , 279 - 287. 10.24925/turjaf.v8i2.279-287.2904
Chicago TAHTALI YALÇIN,Cebeci Zeynel Application of Principal Component Analysis for Gene Sequences (cDNA microarrays). (2020): 279 - 287. 10.24925/turjaf.v8i2.279-287.2904
MLA TAHTALI YALÇIN,Cebeci Zeynel Application of Principal Component Analysis for Gene Sequences (cDNA microarrays). , 2020, ss.279 - 287. 10.24925/turjaf.v8i2.279-287.2904
AMA TAHTALI Y,Cebeci Z Application of Principal Component Analysis for Gene Sequences (cDNA microarrays). . 2020; 279 - 287. 10.24925/turjaf.v8i2.279-287.2904
Vancouver TAHTALI Y,Cebeci Z Application of Principal Component Analysis for Gene Sequences (cDNA microarrays). . 2020; 279 - 287. 10.24925/turjaf.v8i2.279-287.2904
IEEE TAHTALI Y,Cebeci Z "Application of Principal Component Analysis for Gene Sequences (cDNA microarrays)." , ss.279 - 287, 2020. 10.24925/turjaf.v8i2.279-287.2904
ISNAD TAHTALI, YALÇIN - Cebeci, Zeynel. "Application of Principal Component Analysis for Gene Sequences (cDNA microarrays)". (2020), 279-287. https://doi.org/10.24925/turjaf.v8i2.279-287.2904
APA TAHTALI Y, Cebeci Z (2020). Application of Principal Component Analysis for Gene Sequences (cDNA microarrays). Türk Tarım - Gıda Bilim ve Teknoloji dergisi, 8(2), 279 - 287. 10.24925/turjaf.v8i2.279-287.2904
Chicago TAHTALI YALÇIN,Cebeci Zeynel Application of Principal Component Analysis for Gene Sequences (cDNA microarrays). Türk Tarım - Gıda Bilim ve Teknoloji dergisi 8, no.2 (2020): 279 - 287. 10.24925/turjaf.v8i2.279-287.2904
MLA TAHTALI YALÇIN,Cebeci Zeynel Application of Principal Component Analysis for Gene Sequences (cDNA microarrays). Türk Tarım - Gıda Bilim ve Teknoloji dergisi, vol.8, no.2, 2020, ss.279 - 287. 10.24925/turjaf.v8i2.279-287.2904
AMA TAHTALI Y,Cebeci Z Application of Principal Component Analysis for Gene Sequences (cDNA microarrays). Türk Tarım - Gıda Bilim ve Teknoloji dergisi. 2020; 8(2): 279 - 287. 10.24925/turjaf.v8i2.279-287.2904
Vancouver TAHTALI Y,Cebeci Z Application of Principal Component Analysis for Gene Sequences (cDNA microarrays). Türk Tarım - Gıda Bilim ve Teknoloji dergisi. 2020; 8(2): 279 - 287. 10.24925/turjaf.v8i2.279-287.2904
IEEE TAHTALI Y,Cebeci Z "Application of Principal Component Analysis for Gene Sequences (cDNA microarrays)." Türk Tarım - Gıda Bilim ve Teknoloji dergisi, 8, ss.279 - 287, 2020. 10.24925/turjaf.v8i2.279-287.2904
ISNAD TAHTALI, YALÇIN - Cebeci, Zeynel. "Application of Principal Component Analysis for Gene Sequences (cDNA microarrays)". Türk Tarım - Gıda Bilim ve Teknoloji dergisi 8/2 (2020), 279-287. https://doi.org/10.24925/turjaf.v8i2.279-287.2904