Poly (A) code analyses reveal key determinants for tissue-specific mRNA alternative polyadenylation
… testing, and used the remaining PASs with 10-fold cross validation to learn the optimal hyper
parameters for each prediction model. We used both accuracy and the area under the ROC …
parameters for each prediction model. We used both accuracy and the area under the ROC …
Genome-and tissue-wide analysis of alternative polyadenylation events using clustering and feature learning methods
P Yılmazer - 2019 - open.metu.edu.tr
… of tissue-specific gene expressions and differences across tissues and cell types. Our
genome-wide … to our research, investigate alternative polyadenylation in tissue specific manner in …
genome-wide … to our research, investigate alternative polyadenylation in tissue specific manner in …
A Tissue-Specific Landscape of Alternative Polyadenylation, lncRNAs, TFs, and Gene Co-expression Networks in Liriodendron chinense
Z Tu, Y Shen, S Wen, H Liu, L Wei, H Li - Frontiers in Plant Science, 2021 - frontiersin.org
… These findings provide a genome-wide landscape of lncRNAs in L. chinense. … This study
also identified two hub TFs and 18 tissue-specific hub genes with important research value that …
also identified two hub TFs and 18 tissue-specific hub genes with important research value that …
A survey on methods for predicting polyadenylation sites from DNA sequences, bulk RNA-seq, and single-cell RNA-seq
… Identification of poly(A) sites (pAs) on a genome-wide scale … of a single gene, termed
alternative polyadenylation (APA), can … for pA prediction, including non-3′ UTR, tissue-specific, …
alternative polyadenylation (APA), can … for pA prediction, including non-3′ UTR, tissue-specific, …
[图书][B] Inference of Computational Models of Alternative Polyadenylation and Splicing
MKK Leung - 2018 - search.proquest.com
… predict tissue-specific polyadenylation and splicing patterns. … computational models are
trained on genome-wide patterns … data to infer accurate predictive models of complex outcomes. …
trained on genome-wide patterns … data to infer accurate predictive models of complex outcomes. …
Recurrent tumor-specific regulation of alternative polyadenylation of cancer-related genes
… We acknowledge their limitation in showing genome-wide tumor-specific APA regulations.
Still, the genes inspected in our study reveal that APA regulation in cancer is more complex …
Still, the genes inspected in our study reveal that APA regulation in cancer is more complex …
Inference of the human polyadenylation code
… model that can predict the tissue-specific strength of a … that can predict alternative
polyadenylation patterns from transcript … In this work, we apply the predictive model to multiple …
polyadenylation patterns from transcript … In this work, we apply the predictive model to multiple …
A survey on identification and quantification of alternative polyadenylation sites from RNA-seq data
… capture 3′ ends of mRNAs have been developed for genome-wide profiling of poly(A) sites,
such … APA has emerged as a widespread mechanism highly modulated in tissue-specific or …
such … APA has emerged as a widespread mechanism highly modulated in tissue-specific or …
DeepPASTA: deep neural network based polyadenylation site analysis
… Alternative polyadenylation (polyA) sites near the 3 ′ end of a … As alternative polyA sites
are common in mammalian genes, … the tissue-specific polyA site prediction model with the non-…
are common in mammalian genes, … the tissue-specific polyA site prediction model with the non-…
A deep neural network for predicting and engineering alternative polyadenylation
Alternative polyadenylation (APA) is a major driver of transcriptome diversity in human cells.
Here, we use deep learning to predict APA from DNA sequence alone. We trained our …
Here, we use deep learning to predict APA from DNA sequence alone. We trained our …