DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning

DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning

Abstract Background A limitation of traditional differential expression analysis on small datasets involves the possibility of false positives and false negatives due to sample variation. Considering the recent advances in deep learning (DL) based models, we wanted to expand the state-of-the-art in...

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Bibliographic Details
Main Authors: Tulika Kakati, Dhruba K. Bhattacharyya, Jugal K. Kalita, Trina M. Norden-Krichmar
Format: Article
Language:English
Published: BMC 2022-01-01
Series:BMC Bioinformatics
Subjects:
Differentially expressed genes
Convolutional neural network
Classification
Transfer learning
Disease biomarkers
Online Access:https://doi.org/10.1186/s12859-021-04527-4

Internet

https://doi.org/10.1186/s12859-021-04527-4

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