Analyzing High-Throughput Genomic Data with R/Bioconductor

Zararsız, Gökmen
Öztürk, Ahmet
Elmalı, Ferhan
Ertürk, Gözde
Kalınlı, Adem
Özkul, Yusuf


Analyzing High-Through Genomic Data with R/BIOCONDUCTOR
Zararsız, Gökmen; Öztürk, Ahmet; Elmalı, Ferhan; Ertürk, Gözde; Kalınlı, Adem; Özkul, Yusuf (2012-04-19)
Analyzing Fe-Zn system using molecular dynamics, evolutionary neural nets and multi-objective genetic algorithms
Bhattacharya, Baidurya; Kumar, G. R. Dinesh; Agarwal, Akash; Erkoç, Şakir; Singh, Arunima; Chakraborti, Nirupam (Elsevier BV, 2009-10-01)
Failure behavior of Zn coated Fe is simulated through molecular dynamics (MD) and the energy absorbed at the onset of failure along with the corresponding strain of the Zn lattice are computed for different levels of applied shear rate. temperature and thickness. Data-driven models are constructed by feeding the MD results to an evolutionary neural network. The outputs of these neural networks are utilized to carry out a multi-objective optimization through genetic algorithms, where the best possible tradeo...
Analyzing the Information Distribution in the fMRI Measurements by Estimating the Degree of Locality
Onal, Itir; Ozay, Mete; Firat, Orhan; GİLLAM, İLKE; Yarman Vural, Fatoş Tunay (2013-07-07)
In this study, we propose a new method for analyzing and representing the distribution of discriminative information for data acquired via functional Magnetic Resonance Imaging (fMRI). For this purpose, we form a spatially local mesh with varying size, around each voxel, called the seed voxel. The relationship among each seed voxel and its neighbors is estimated using a linear regression model by minimizing the square error. Then, we estimate the optimal mesh size that represents the connections among each ...
Evaluating NCEP eta model-derived data against observations
Yücel, İsmail; Washburne, J; Chen, F (1998-07-01)
Data derived at the National Centers for Environmental Prediction via four-dimensional data assimilation using the Era Model were evaluated against surface observations from two observational arrays, one located in the semihumid, continental climate of Oklahoma and Kansas and the second in the semiarid climate of southern Arizona. Comparison was made for the period of the Global Energy Water-cycle Experiment Continental-scale International Project's "GIST" dataset in 1994 and their "ESOP-95" dataset in 1995...
Analyzing Technical Debt of a CRM Application by Categorizing Ambiguous Issue Statements
Doğancı, Yasemin; Özcan Top, Özden; Koçyiğit, Altan (2021-09-09)
Poor decisions and suboptimal actions taken in software development result in technical debt. In service business, technical debt may become more evident and destructive. Customer relationship management (CRM) platform is one example of such businesses where several customizations are performed to adapt the software to customers’ processes and needs. The purpose of this study is to investigate technical debt in customizations made in different Salesforce CRM organizations based on ambiguous issue statements...
Citation Formats
G. Zararsız, A. Öztürk, F. Elmalı, G. Ertürk, A. Kalınlı, and Y. Özkul, “Analyzing High-Throughput Genomic Data with R/Bioconductor,” 2012, Accessed: 00, 2021. [Online]. Available: