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
Pattern Classification For Bio-Medical Applications
Date
2011
Author
Yalabık, Neşe
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
287
views
0
downloads
Cite This
Pattern Recognition(PR) techniques are widely used for medical and biological applications since a long time. The objective of this new elective course is first to make student familiar with generalapproaches such as Bayes Classification, Nearest Neighbor Rule, Neural Networks and later to concentrate on more often used modern classification techniques such as Support Vector Machines and Multiclassifiers for solving Bio-Medical problems. The Invited speakers will share their research experience with these problems.The students will also learn through reading and discussing different application papers.
URI
https://ocw.metu.edu.tr/course/view.php?id=140
https://hdl.handle.net/11511/37023
Collections
Graduate School of Informatics, Course Material
Suggestions
OpenMETU
Core
Classification of neural network hardware
Aybay, Isik; Cetinkaya, Semih; Halıcı, Uğur (1996-01-01)
There is a need for studies to classify Neural Network hardware according to some generally accepted criteria to make it easier to understand the basic properties of newly proposed neurochips. This paper aims at putting forward a new proposal for the classification of Neural Network hardware. For this purpose, first the basic components and architecture of a neurochip are described. Then attributes are selected and outlined for the classification, and possible values they may take are discussed. A number of...
Dual and multi-stimuli responsive polymers for biomedical applications
Hasırcı, Nesrin (null, 2019-02-01)
Polymers are materials widely used in medical applications due to their wide variety, ease of processing, high diversity, and cost effectiveness. They can take the place of metals and ceramics in the production of medical devices such as, diagnostic systems, artificial organs, prostheses, micro-, and nano-drug carriers. They can be stimuli-responsive and intelligent if certain functional groups are either present in the main chain or introduced as copolymers, blends, or grafts. The functional groups have a ...
General guidelines for CRISPR/Cas-based genome editing in plants
Aksoy, Emre; YILDIRIM, KUBİLAY; KAVAS, MUSA; Kayihan, Ceyhun; Yerlikaya, Bayram Ali; Calik, Irmak; Sevgen, Ilkay; Demirel, Ufuk (2022-09-01)
CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated) technology is a versatile genome editing tool that has been used to improve agriculturally important plant traits. Due to its precision, CRISPR/Cas9 is more effective than either conventional plant breeding methods or standard genetic engineering approaches for the rapid development of new varieties resilient to climate change. In addition to knowledge in tissue culture-based plant transformation, effective gene-speci...
Comparative statistical microarray analysis of yeast data under heat shock stress
Varol, Duygu; Purutçuoğlu Gazi, Vilda; Yılmaz, Remziye; Department of Statistics (2014)
The microarray technology is one of the widely used experimental methods in biological and biochemical sciences. By this innovation, a number of genes can be analyzed simultaneously by means of statistical methods. Hereby in this study we analyze a new one-channel microarray dataset that is measured to investigate the changes in heat shock stress of yeast. The data that are generated in the Molecular Biology and Biotechnology R-D Center at the Middle East Technical University has not been evaluated yet in d...
Synthesis, aqueous solution behavior and layer-bylayer self-assembly of poly(2-alkyl-2-oxazoline)s
Çağlı, Eda; Erel Göktepe, İrem; Department of Chemistry (2019)
Poly(2-alkyl-2-oxazoline)s (PAOXs), are of interest for biomedical applications due to their important biological properties such as nontoxicity and biocompatibility. PAOXs with short-alkyl chains exhibit temperature-responsive behaviour which is advantageous for various biomedical applications. This dissertation focused on synthesis, aqueous solution behaviour, post-functionalization and layer-by-layer (LbL) self-assembly of PAOXs. In addition, it aimed to examine the surface properties of PAOX LbL films a...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
N. Yalabık, “Pattern Classification For Bio-Medical Applications,” 00, 2011, Accessed: 00, 2020. [Online]. Available: https://ocw.metu.edu.tr/course/view.php?id=140.