Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yalçın Tahtalı"'
Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 8, Iss 5, Pp 1211-1215 (2020)
The research was carried out in a 3-floor cage system in the research farm of Tokat Gaziosmanpasa University. 6 chickens were placed in each cage compartment and 5 repetitions were created on each floor. Existing eggs were collected at 9:00 - 13:00 a
Externí odkaz:
https://doaj.org/article/276a9d80dce54d5ab08a30cdf33487a1
Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 8, Iss 3, Pp 793-799 (2020)
The aim of this study is to compare the least squares (LS) method that lost its function in the case of multicollinearity in regression methods with Ridge Regression (RR) and Principal Components Regression (PCR) which are bias estimators. For this a
Externí odkaz:
https://doaj.org/article/1bcdd37f1d2549b2a2790c68a20326ce
Autor:
Yalçın Tahtalı, Zeynel Cebeci
Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 8, Iss 2, Pp 279-287 (2020)
In this study, principal component analysis has been applied on data comprising of 6675 gene and 20 sequence collected by using cDNA microarray technology from livers of mice used in toxicology studies in certain time periods. Forming of gene groups
Externí odkaz:
https://doaj.org/article/9fd51d7b69274f639244eb7b4ba65cf7
Autor:
Yalçın Tahtalı, Ahmet Tahsin Yaldızbaş
Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 8, Iss 2, Pp 499-503 (2020)
Bu araştırmada Romanov kuzularının vücut özelliklerinin gelişiminin tanımlanması amacı ile 50 Romanov kuzusunun doğumdan itibaren 180. yaş gününe kadar olan büyüme döneminde her 15 günde bir canlı ağırlık, vücut uzunluğu, cida
Externí odkaz:
https://doaj.org/article/bc19de4e7c90482e86d50fdab54ede7f
Bu çalışmanın amacı regresyon ağacı (RT) analizi ile buzağı doğum ağırlığı üzerine, buzağı cinsiyeti, doğum tipi ve doğum ayının etkilerini belirlemektir. Bu amaçla, Polatlı Tarım İşletmesinde yetiştirilen 894 adet siyah a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10089::a62c4265ec2f945fcb80fdc4d5985c9f
https://app.trdizin.gov.tr/makale/TWpjek1qRXpNdz09
https://app.trdizin.gov.tr/makale/TWpjek1qRXpNdz09
Publikováno v:
PeerJ Computer Science, Vol 8, p e1060 (2022)
Outliers are data points that significantly deviate from other data points in a data set because of different mechanisms or unusual processes. Outlier detection is one of the intensively studied research topics for identification of novelties, frauds
Externí odkaz:
https://doaj.org/article/3e0ba5409b764335bdb460074d391912
Autor:
Yalçın Tahtalı, Zeynel Cebeci
DNA mikrodizi, binlerce genin ekspresyonunu eş zamanlı olarak ölçebilen bir teknolojidir. Mikrodiziler hücreden veya dokudan RNA izolasyonu, tümleyici nükleotidler (cDNA) kullanılarak hedef üretimi, işaretlenen hedefin cam/naylon matrikse (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______9491::8463a905d66c454c8d826b04576aff0a
https://hdl.handle.net/20.500.12605/3059
https://hdl.handle.net/20.500.12605/3059
Publikováno v:
Kafkas Universitesi Veteriner Fakültesi Dergisi, Vol 26, Iss 5, Pp 609-615 (2020)
This study investigates the modelling of the individual growth curves of Romanov lambs using different equations and the data on the increase in live weight and selects the best model. For this purpose, the live weights of Romanov lambs that were bro
Externí odkaz:
https://doaj.org/article/6d62ae3d6638438cb6e978fe89e756ee
Autor:
Yalcin TAHTALI
Publikováno v:
Kafkas Universitesi Veteriner Fakültesi Dergisi, Vol 26, Iss 4, Pp 541-549 (2020)
The study investigates the classification of milk quality with support vector machines (SVM) using the raw milk composition and somatic cell count (SCC) data on buffalos. For this purpose, 11-variable (dry matter, fat-free dry matter, fat (%), protei
Externí odkaz:
https://doaj.org/article/6cdc8a3414db4dc3b6f44b7e49f85c8e
Autor:
Yalcin Tahtali
Publikováno v:
PeerJ, Vol 7, p e7434 (2019)
The study investigates the solution of the multicollinearity between certain body measurements of Romanov lambs and prediction of the body weight of Romanov lambs using the thus calculated factor analysis scores and a multiple regression model. For t
Externí odkaz:
https://doaj.org/article/b6e41f6a1b204541bbc98e42059670c7