AIMC Topic: RNA Editing
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Deep Neural Networks for Epistatic Sequence Analysis.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2021
We report a step-by-step protocol to use pysster, a TensorFlow-based package for building deep neural networks on a broad range of epistatic sequences such as DNA, RNA, or annotated secondary structure sequences. Pysster provides users comprehensive ...
[Application of machine learning in the CRISPR/Cas9 system].
Yi chuan = Hereditas
Sep 20, 2018
The third generation of the CRISPR/Cas9-mediated genome fixed-point editing technology has been widely used in the field of gene editing and gene expression regulation. How to improve the on-target efficiency and specificity of this system, as well a...
RED-ML: a novel, effective RNA editing detection method based on machine learning.
GigaScience
May 1, 2017
With the advancement of second generation sequencing techniques, our ability to detect and quantify RNA editing on a global scale has been vastly improved. As a result, RNA editing is now being studied under a growing number of biological conditions ...
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