Fen Bilimleri Enstitüsü / Science Institute

Permanent URI for this collectionhttps://hdl.handle.net/11727/1392

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    An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry
    (2021) Guney, Gokhan; Yigin, Busra Ozgode; Guven, Necdet; Colak, Burcin; Alici, Yasemin Hosgoren; Erzin, Gamze; Saygili, Gorkem; 0000-0003-3384-8131; 33888650
    Deep learning (DL) algorithms have achieved important successes in data analysis tasks, thanks to their capability of revealing complex patterns in data. With the advance of new sensors, data storage, and processing hardware, DL algorithms start dominating various fields including neuropsychiatry. There are many types of DL algorithms for different data types from survey data to functional magnetic resonance imaging scans. Because of limitations in diagnosing, estimating prognosis and treatment response of neuropsychiatric disorders; DL algorithms are becoming promising approaches. In this review, we aim to summarize the most common DL algorithms and their applications in neuropsychiatry and also provide an overview to guide the researchers in choosing the proper DL architecture for their research.
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    Conservation Genetics of the European Fallow Deer: A Reply to Marchesini et al.
    (2021) Baker, Karis H.; Gray, Howard W. I.; Peksen, Cigdem Akin; Hoelzel, A. Rus; 0000-0001-5736-3062
    In this letter, we revisit a study we published in 2017, following comment in a paper by Marchesini et al. published in this volume. We provide some further analyses that help us to reinforce the original conclusions of our earlier paper, and to address the points raised by Marchesini et al. We conclude that the concerns raised in their review do not alter the inference we presented earlier, and we identify issues with analyses presented by Marchesini et al. that limit their utility. The key points of inference remain that this species in Europe shows remarkably low levels of diversity within populations and strong structure among populations which can be explained by a combination of natural and anthropogenic processes.