Is the outlier detection appropriate for protein protein interaction data?

Date

2018-04-30

Author

Ayyıldız Demirci, Ezgi
Purutçuoğlu Gazi, Vilda

Metadata

Show full item record

Item Usage Stats

54
views

0
downloads

URI

http://www.irsysc2018.com/
https://hdl.handle.net/11511/75727

Collections

Unverified, Conference / Seminar

Suggestions

OpenMETU
Core

Is the log-normal density appropriate for one- channel microarray data? Varol, Duygu; Akal, Tülay; Purutçuoğlu Gazi, Vilda (2017-06-01)
Is the use of GeoGebra advantageous in the process of argumentation? Erkek, Ozlem; Işıksal Bostan, Mine (2015-01-01) The purpose of this study was to investigate the advantages and disadvantages of using GeoGebra in an argumentative application. For this purpose, the data were collected from eight prospective elementary mathematics teachers via video recordings, reflection papers and interviews. Data were analyzed through qualitative data analysis methods. According to the results, making accurate drawings, creating confident justifications based on exact measurements, dragging objects to see relationships and saving time...
Is global BCG vaccination-induced trained immunity relevant to the progression of SARS-CoV-2 pandemic? Gürsel, Mayda (Wiley, 2020-07-01)
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 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...

Citation Formats

E. Ayyıldız Demirci and V. Purutçuoğlu Gazi, “Is the outlier detection appropriate for protein protein interaction data?,” 2018, Accessed: 00, 2021. [Online]. Available: http://www.irsysc2018.com/.