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motifNet: A Neural Network Approach for Learning Functional Sequence Patterns in mRNA

2022-12-21

Abstract excerpt

We present a new approach for predicting functional sequence patterns in mRNA, known as motifs. These motifs play an important role in understanding the mechanisms of the cell life cycle in clinical research and drug discovery. However, many existing neural network models for mRNA event prediction only take the sequence as input, and do not consider the positional information of the sequence. In contrast, motifNet...

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Literature Corpus work
08a92840-a54a-5968-a9a4-5976ad01cfb7
DOI
10.1101/2022.12.20.521305
Open publication

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motifNet: A Neural Network Approach for Learning Functional Sequence Patterns in mRNADOI 10.1101/2022.12.20.521305
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