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    Master Thesis
    Deep Learning Applications on Biological Data
    (Kadir Has Üniversitesi, 2018) Kurt, Zeynep; Özen, Cem
    Biological sciences and medicine have been rapidly becoming data-intensive disciplines. Machine learning algorithms in particular deep learning methods are becoming essential tools of data analysis to facilitate our understanding of complex biological systems by extracting highly non-trivial patterns in data. The focus of this master thesis is to develop a working understanding of general deep learning approach and apply these approaches on a variety of biological and medical data classes. More specifically we aim to utilize Recurrent Neural Networks (RNNs) and their more advanced variants on sequential data such as DNA and protein sequences.