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 ...
KARTLI, Onur Savaş; Aydın Son, Yeşim; Doğan, Tunca; Department of Bioinformatics (2022-5-09)
Integrative research on multi-modal biological data is difficult due to their complexity and diverse structure. A critical issue in bioinformatics and computational biology is that many of the associations/relationships between biological components and concepts (i.e., genes, proteins, drugs, diseases, etc.) are still unknown due to the high costs and temporal requirements of wet-lab experiments that uncover them. This thesis aims to predict unknown relationships in biological data by leveraging documented ...
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...
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: