Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction
نویسندگان
چکیده
منابع مشابه
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction
Through sequence-based classification, this paper tries to accurately predict the DNA binding sites of transcription factors (TFs) in an unannotated cellular context. Related methods in the literature fail to perform such predictions accurately, since they do not consider sample distribution shift of sequence segments from an annotated (source) context to an unannotated (target) context. We, th...
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ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Computational Biology and Bioinformatics
سال: 2019
ISSN: 1545-5963,1557-9964,2374-0043
DOI: 10.1109/tcbb.2016.2609918