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Articles by Seyrani Koncagul
Total Records ( 2 ) for Seyrani Koncagul
  Seyrani Koncagul and Kemal Yazgan
  Thirteen mathematical functions were compared to describe the lactation curve, using data taken daily, semimonthly, monthly and bimonthly intervals. The objectives of this study were to compare the most widely used functions for their ability to describe first lactation curves of Holstein cows in a herd located in the southeast region of Turkey and to examine their sensitivity to data reduction. Cows reared outside throughout all seasons and milked 3 times daily. The number of observations per lactation varied from 6-300. Criterias used to compare the models were squared multiple correlation coefficient (R2), correlation coefficient (r) between the observed and estimated test day yields, Durbin-Watson (DW) statistic and mean squared prediction error (MSPE). The performance of models showed great differences in the comparison criteria across calving-seasons (S1-December to February; S2-March to May; S3-June to August; S4-September to November) and sampling groups (TD-0 included all daily records from 5-305th day after calving; TD-15 included records with 15 day interval from 5-305th day after calving; TD-30 included records with 30 day interval from 5-305th day after calving; and TD-60 included records with 60 day interval from 5-305th day after calving). The most appropriate model to describe lactation curve was Glasbey (GLAS) when all daily observations in lactation are used and regardless of that the observations are taken semimonthly, monthly, or bimonthly interval.
  Hasan Koyun , Seyrani Koncagul and Abdullah Ye ilova
  A new era has been started by discovering DNA microarray technologies in fields of genetics. In this mini review article, the basic molecular methods and statistical analyses for DNA microarrays (DNA chips) technologies have been reviewed. Types of commonly used microarrays, the target labeling for detecting and quantifying of gene expression levels and approaches of DNA microarrays were described. Moreover, basic image and statistical analyses of microarray data such as cluster analysis and a general linear model (GLM) were also recited and summarized.
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