Searching journal content for articles similar to Brāzma et al. 8 (11): 1202.

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  1. ..., it is difficult to apply on a large scale.Quantitative models have been proposed recently for modeling the relationships between candidate CREs (cCREs) and gene expression. Early models mainly focus on forming binary classification tasks to predict physical cCRE–gene interactions (Li et al. 2019; Tang et al. 2020...
  2. ..., and cd9 which were previously examined primarily at the expression level 496 (Collet, 2004; Castro et al., 2008, 2010; Holland et al., 2008; Collins et al., 2014; Dehler et 497 al., 2023). Earlier studies included in silico promoter analyses and reporter gene assays, but 498 our integration of ATAC...
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  3. .... Leveraging generative AI and large-scale foundation models, we could develop a gene regulatory network–based framework that dynamically aligns molecular states with disease progression in a continuous manner. Such a stage-aware and data-driven gene regulatory network-based framework could ultimately enable...
  4. ...shows remarkable robustness to data imbalance, species variation, and gene scale differences. Its biologically informed variational inference framework allows PRISM-GRN to effectively capture rare but functionally critical regulatory interactions, making it a powerful and practical tool for real...
  5. ...and enable independent feature importance 331 assessment(Wang et al. 2020; Zhu et al. 2025a), and 3) incorporation of in silico mutational 332 landscapes (Chen et al. 2022) and gene-editing datasets. Multimodal integration will advance 333 phenotype prediction from single-source models to large-scale...
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  6. ..., Guelph, ON N1G 2W1, Canada Corresponding author: michael.wilson@sickkids.caAbstractTransposable elements (TEs) provide a source of transcription factor (TF) binding sites that can rewire gene regulatory networks. NF-kB is an evolutionarily conserved TF complex primarily involved in innate immunity...
  7. ...and ultimately enable functional classification of regulatory variants identified by population studies.Most genetic associations with human diseases and traits lie within noncoding regulatory DNA (Maurano et al. 2012). Genome-scale methods to analyze the function of noncoding regulatory elements within...
  8. .... (D) Top GO terms enriched in each shared module in C. (E) Heatmaps showing scaled expression of all stage DEGs identified within MES, with genes clustered into three dynamic modules. Heatmaps of the other major cell types are in Supplemental Figure S2A. (F) Top 10 GO terms enriched in each dynamic...
  9. ...for highly expressed genes.Although Noureen et al. (2022) investigated the robustness of various signature scoring methods for bulk and single-cell RNA-seq, focusing on sensitivity and specificity across in silico data sets, the study did not address score range comparability, which is necessary for accurate...
  10. .... The right section presents an IGV plot. Colors in this plot represent different cell types. (F) Bar plots showing the RNA-binding protein around the differential 3′ UTR between proximal PASs and distal PAS loci of GPD1. (G) The violin plot showing the scaled expression levels of RBP genes.Among these, GPD1...
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