Transmembrane Protein Prediction using Long Short-Term Memory Networks
نویسندگان
چکیده
Transmembrane Protein Prediction is a problem with many uses as experimental determination of protein structures is still expensive and for different purposes it can be useful to know the structure. Here I introduce a small long short-term memory network based model which gives a precision of 67 ± 3 and a recall of 71± 3. The model manages, when compared to TMSEG [3], slightly worse but is still a lot better than a simple Hidden Markov Model.
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تاریخ انتشار 2018