Abstract. Predictive modelling of gene expression provides a powerful framework for exploring the regulatory logic underpinning transcriptional regulation.
Sep 16, 2014 · Predictive modelling of gene expression provides a powerful framework for exploring the regulatory logic underpinning transcriptional ...
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Abstract. Predictive modelling of gene expression provides a powerful framework for exploring the regulatory logic underpinning transcriptional regulation.
Nov 27, 2021 · The model allows building a large and explicative gene expression network that displays the main biological relationships between a gene and its ...
May 28, 2024 · Techniques leveraging time series gene expression data excel in modeling regulatory elements like feed-forward loops and autoregulation ...
Apr 25, 2024 · We explored this link with the training of interpretable deep learning models predicting gene expression profiles from gene flanking regions of ...
These sequences are recognized and bound by DNA-binding regulatory proteins, called transcription factors (TFs), to control gene expression (Ni and Su, 2021).
Nov 15, 2021 · Conclusions In this work we demonstrate that it is possible to model HM-modulated gene expression regulation in a highly accurate, yet ...
Nov 27, 2021 · Combining data from ENCODE and TCGA datasets, we built a predictive linear model for the regulation of each target gene, assessing the ...
Mar 27, 2023 · The largest sequence-based models of transcription control to date are obtained by predicting genome-wide gene regulatory assays across the ...