… RNA-sequence data was then put into Deep-learning augmented RNA-seq analysis of
transcript splicing software suite… Deep-learning augmented RNA-seq analysis of transcript …

… (Deep-learning Augmented RNA-Seq) software suite. DARTS created a model of differential
alternative splicing … found 1,726 differentially spliced single exon transcripts between HGSC …

… RNA-seq data for 15 human tissues from the ENCODE data portal [25]. To obtain high quality
of data, the data … in any given paired tissues also augmented the datasets incrementally for …

… a special focus on determining novel transcripts, detecting and … data analysis adopting
deep learning–based algorithms for epigenetic modification, identification, extrapolation of splice …

… play a vital role in addressing issues such as novel gene discovery, detection of low-abundance
transcripts, construction of transcriptional landscapes [1], alternative splicing regulation, …

… Results: We present DeepRBP, a deep learning (DL) based … that predict splicing regulation
from bulk RNA-Seq data. In this … (or RBPTranscript) given bulk RNA-Seq data. DeepRBP is …

… data sets. The relatively large number of high-quality samples allowed us to use DL for data
augmentation… information of potentially viral and bacterial transcripts (∼5600 contaminants), …

… it has been shown that gradual changes in transcript expression occur along the colon from
… have been more apparent if differential transcript splicing was taken into consideration 20 . …

… spliced transcripts and classification of alternative splicing … method, AStrap, and other deep
learning models. Then, we … data and use an interpretation method to decipher splicing codes. …

… had no underlying biological meanings, so the deep-learning model DNN was not beneficial
(… Second, we removed all transcripts constituting the 1723 differential splicing events in the …