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
Is the log-normal density appropriate for one- channel microarray data?
Date
2017-06-01
Author
Varol, Duygu
Akal, Tülay
Purutçuoğlu Gazi, Vilda
Metadata
Show full item record
Item Usage Stats
66
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/73084
Collections
Unverified, Conference / Seminar
Suggestions
OpenMETU
Core
Is the outlier detection appropriate for protein protein interaction data?
Ayyıldız Demirci, Ezgi; Purutçuoğlu Gazi, Vilda (2018-04-30)
Is spatial uncertainty necessary for the context specific proportion congruency effect?
Bozkurt, Özge; Mısırlısoy, Mine; Department of Psychology (2019)
Cognitive control is generally measured with the Stroop effect which is signified by slow responses in the incongruent (the word and color mismatch) items. The magnitude of the Stroop effect is modulated by experimental manipulations, for instance it is reduced by presenting items in mostly incongruent contexts as compared to mostly congruent contexts. The difference between the Stroop effects observed in these contexts is called the context specific proportion congruency (CSPC) effect. A large number of CS...
Is it necessary to apply the outlier detection for protein-protein interaction data?
Ayyıldız, Ezgi; Purutçuoğlu Gazi, Vilda (2018-01-01)
Objective: Outlier detection is a crucial problem in many fields. Although there are too many outlier detection methods in the literature, only a few methods suitable for dependent, sparse and high dimensional data structure. In this study, we perform various univariate and multivariate outlier detection methods as a pre-processing step before modeling the protein-protein interaction networks in order to investigate whether the outlier detection can improve the accuracy of the model. Material and Methods: W...
Is predicting Drug-Target Interaction Possible When A Limited Amount of Bioactivity Data is Available?
Orta Doğu Teknik Üniversitesi, Enformatik Enstitüsü (Orta Doğu Teknik Üniversitesi Enformatik Enstitüsü; 2022-10)
Motivation Lately. deep learning-based models for drug-target interaction (DTI) prediction have yielded highly promising results. However. the majority of proposed deep learning models developed so far require large-scale training data. For many proteins. there is very little bioactivity data recorded in the databases or none at all; therefore. no prediction models are available for these. For example. in ChEMBL_29. only 8% of proteins have more than 1.000 bioactive compounds. while 56% of the proteins have...
Is umbilicocerebral ratio better than cerebroplacental ratio for predicting adverse pregnancy and neonatal outcomes?
Kalafat, Erkan; Kalaylioglu, Zeynep; Thilaganathan, Basky; Khalil, Asma (Elsevier BV, 2020-09-01)
Objective A secondary analysis of the trial of randomized umbilical and fetal flow in Europe suggested that the umbilicocerebral ratio (UCR) provides better differentiation of neurodevelopmental outcome in the abnormal range compared with that of the cerebroplacental ratio (CPR).1 However, the reported superiority of UCR is controversial.2 This study aimed to compare the CPR and the UCR for predicting operative delivery for presumed fetal compromise and prolonged neonatal unit (NNU) admission in term fetus...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
D. Varol, T. Akal, and V. Purutçuoğlu Gazi, “Is the log-normal density appropriate for one- channel microarray data?,” 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/73084.