Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
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
Diverse Microbes: From Micropollutants to Allelopathic Relations
Date
2018-12-31
Author
Kurt, Zöhre
Metadata
Show full item record
Item Usage Stats
137
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/70570
Collections
Department of Environmental Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Diverse classifiers ensemble based on GMDH-type neural network algorithm for binary classification
DAĞ, OSMAN; KAŞIKCI, MERVE; KARABULUT, ERDEM; Alpar, Reha (Informa UK Limited, 2019-12-03)
Group Method of Data Handling (GMDH) - type neural network algorithm is the heuristic self-organizing algorithm to model the sophisticated systems. In this study, we propose a new algorithm assembling different classifiers based on GMDH algorithm for binary classification. A Monte Carlo simulation study is conducted to compare diverse classifier ensemble based on GMDH (dce-GMDH) algorithm to the other well-known classifiers and to give recommendations for applied researchers on the selection of appropriate ...
Diverse Patterns of Neanderthal Introgression in Western Asia
Taskent, Recep O.; Alioglu, Duha; Fer, Evrim; Donertas, Handan M.; Somel, Mehmet; Gokcumen, Omer (2017-04-01)
Diverse landscapes, diverse works: reframing the urban transformation of Çinçin through muhtars, houseworkers, the usta, and the kabadayı
Aykaç, Gülşah; Sargın, Güven Arif; Department of Architecture (2020)
This dissertation presents the sociospatial analysis of a radically transformed gecekondu (squatter housing) zone, Çinçin, through the work experiences of two groups of social actors, muhtars (neighbourhood heads) and houseworkers, and two well-known personalities referred to as the usta (expert craftsman) and the kabadayı (social bandit). Çinçin was one of the first marginal districts of Ankara occupied by Persian Roma in the 1920s; it became a part of the dense urban fabric of gecekondus during the urbani...
Diversity of the Aromatic-Ring-Hydroxylating Dioxygenases in the Monoaromatic Hydrocarbon Degraders Held by a Common Ancestor
Yavas, Alper; İçgen, Bülent (Springer Science and Business Media LLC, 2018-09-01)
Aromatic ring hydroxylating dioxygenases (ARHDs), harboured by a variety of bacteria, catalyze the initial reaction in the degradation of a wide range of toxic environmental contaminants like aromatic and polycyclic aromatic hydrocarbons (PAHs). Regardless of the source, bacteria harbouring RHDs play major role in the removal of these toxic contaminants. The diversity of ARHDs in contaminated sites is supposed to be huge. However, most of the ARHD diversity studies are based on the PAH degraders and the ARH...
Principal microbial groups: compositional alternative to phylogenetic grouping of microbiome data
Boyraz, Asli; Pawlowsky-Glahn, Vera; Jose Egozcue, Juan; Acar, Aybar Can (2022-08-01)
Statistical and machine learning techniques based on relative abundances have been used to predict health conditions and to identify microbial biomarkers. However, high dimensionality, sparsity and the compositional nature of microbiome data represent statistical challenges. On the other hand, the taxon grouping allows summarizing microbiome abundance with a coarser resolution in a lower dimension, but it presents new challenges when correlating taxa with a disease. In this work, we present a novel approach...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Z. Kurt, “Diverse Microbes: From Micropollutants to Allelopathic Relations,” 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/70570.