Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

Abstract Background Upland cotton provides the most natural fiber in the world. During fiber development, the quality and yield of fiber were influenced by gene transcription. Revealing sequence features related to transcription has a profound impact on cotton molecular breeding. We applied convolut...

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Bibliographic Details
Main Authors: Shang Liu, Hailiang Cheng, Javaria Ashraf, Youping Zhang, Qiaolian Wang, Limin Lv, Man He, Guoli Song, Dongyun Zuo
Format: Article
Language:English
Published: BMC 2022-03-01
Series:BMC Bioinformatics
Subjects:
Cotton fiber
Transcription
Convolutional neural network
Model interpretation
Motif detection
Online Access:https://doi.org/10.1186/s12859-022-04619-9

Internet

https://doi.org/10.1186/s12859-022-04619-9

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