Is the log-normal density appropriate for one- channel microarray data?

Varol, Duygu
Akal, Tülay
Purutçuoğlu Gazi, Vilda


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
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: