Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Geneating performance criteria for trainer sets of learning systems using cell-to-cell mapping
Download
029555.pdf
Date
1993
Author
Üneri, Mert
Metadata
Show full item record
Item Usage Stats
70
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/11865
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Gene Therapy Strategies in Bone Tissue Engineering and Current Clinical Applications
Atasoy-Zeybek, Aysegul; KÖSE, GAMZE (2018-01-01)
Gene therapy provides a promising approach for regeneration and repair of injured bone. Application of gene therapy has displayed increased efficiency in various animal models and preclinical trials in comparison with traditional bone grafting methods. The objective of this review is to highlight fundamental principles of gene therapy strategies in bone tissue engineering and solutions of their current limitations for the healing of bone injury. Vector types are debated for the repair of defected site due t...
Gene reordering and concurrency in genetic algorithms
Şehitoğlu, Onur Tolga; Üçoluk, Göktürk; Department of Computer Engineering (2002)
This study first introduces an order-free chromosome encoding to enhance the performance of genetic algorithms by learning the linkage of building blocks in non-binary encodings. The method introduces a measure called affinity which is based on the statistical properties of gene valuations in the population. It uses the affinity values of the local and global gene pairs to construct a global permutation with tight building block positioning. Method is tested and experimental results are shown for a group of...
Gene expression analysis of drug-resistant MCF-7 cells: implications for relation to extracellular matrix proteins
Iseri, Oezlem Darcansoy; Kars, Meltem Demirel; Arpaci, Fikret; Gündüz, Ufuk (2010-02-01)
Since multidrug resistance is a multifactorial phenomenon, a large-scale expression analysis of drug-resistant cells by using high-density oligonucleotide microarrays may provide information about new candidate genes contributing to resistance. Extracellular matrix (ECM) is responsible for many aspects of proliferation and invasive/metastatic behavior of tumor cells. This study demonstrates alterations in gene expression levels of several ECM components, matrix metalloproteinases (MMPs), adamalysins (ADAMs ...
Gene regulation network behind drought escape, avoidance and tolerance strategies in black poplar (Populus nigra L.)
Yildirim, Kubilay; Kaya, Zeki (2017-06-01)
Drought is the major environmental problem limiting the productivity and survival of plant species. Here, previously identified three black poplar genotypes having contrasting response to drought were subjected to gradual soil water depletion in a pot trial to identify their physiological, morphological and antioxidation related adaptations. We also performed a microarray based transcriptome analyses on the leaves of genotypes by using Affymetrix poplar Genome Array containing 56,000 transcripts. Phenotypic...
Genetic algorithm approach for the optimization of technical trading rule parameters.
Hülagü, Timur; Selçuk, Sevtap; Department of Statistics (2001)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Üneri, “Geneating performance criteria for trainer sets of learning systems using cell-to-cell mapping,” Middle East Technical University, 1993.