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Seven European colorectal cancer predisposing SNPs are associated with CRC and its prognosis in Turkish population
Cumaogullari, O.; Charyyeva, S.; Abaci, E.; Bilici, Z.; Ozakinci, H.; Ilk, O.; Kuzu, A.; Ozdag, H. (2019-10-01)
Semi-parametric Estimation of Count Time Series
Ghahramani, Melody; Dag, Osman; de Leon, Alexander R. (2014-06-27)
A flexible semi-parametric model for autocorrelated count data is proposed. Unlike earlier models available in the literature, the model does not require construction of a likelihood function and only entails the specifica...
Recent trends in renewable energy research: A bibliometric perspective
Uzun, Ali (2007-06-27)
Science and technology policy in Turkey national strategies for innovation and change, 1983-2003 and beyond
Uzun, A (2005-07-28)
Artificial Neural Network Models for Forecasting Tourist Arrivals to Barcelona
Alptekin, Bülent; ALADAĞ, ÇAĞDAŞ HAKAN (2016-09-09)
In order to reach accurate tourism demand forecasts, various forecasting methods have been proposed in the literature [1]. These approaches can be divided into two subclasses. One of them is conventional methods such as au...
Estimation of reaction rates for the MAPK/ERK pathway via Western-blotting data
Purutçuoğlu Gazi, Vilda; Şeker, Tamay (2015-03-01)
Construction of treatment incomplete block designs: An integer programming approach
İslam, Muhammed Qamarul; Yildirim, F (1997-08-01)
In many areas of Science, such as Industry, Agriculture, Biology and Medicine, while performing experiments, the problem of Multiple Comparison with Control is often encountered. Some new varieties (or test treatments) bec...
Investigation and comparison of the preprocessing algorithms for microarrayanalysis for robust gene expression calculation and performance analysis of technical replicates
İLK, HAKKI GÖKHAN; İlk Dağ, Özlem; KONU KARAKAYALI, ÖZLEN; ÖZDAĞ, Hilal (2006-04-19)
Preprocessing of microarray data involves the necessary steps of background correction, normalization and summarization of the raw intensity data obtained from cDNA or oligo-arrays before statistical analysis. Several algo...
A Comparative Study on Learning to Rank with Computational Methods
Batmaz, İnci; Karagöz, Pınar; Serdar, Gulsah (2017-12-14)
Learning to rank is a supervised learning problem that aims to construct a ranking model. The most common application of learning to rank is to rank a set of documents against a query. In this work, we focus on pointwise a...
Dempster-Schafer Method in Family Based Association Studies
Rajabli, Farid; Goktas, Unal; İnan, Gül (2012-11-03)
In experiments designed for family-based association studies, methods such as transmission disequilibrium test (TDT) require large number of trios to identify single nucleotide polymorphisms (SNPs) associated with the dise...