Searching journal content for articles similar to Jankowski et al. 23 (8): 1307.

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  1. ...on potentially misleading predictions.Prediction of potential regulatory sitesThis review focuses on gene-specific transcriptional regulation via direct TF binding to regulatory DNA sites. The initial task is thus to locate candidate DNA regions potentially involved in TF binding, and this starts...
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  2. ...samples reveal distinct transcription complex compositions, 3D contexts, and regulatory dynamics associated with different classes of ESR1 binding sites. Overall, our results establish a comprehensive framework to highlight and elucidate the molecular basis underlying ESR1 genomic heterogeneity and its...
  3. ...for genomic data. Integrated into diverse architectures such as convoluted neural networks (CNNs), long short-term memory (LSTM), dilated CNNs, and transformers, ConvNeXt V2 blocks consistently improve performance, leading to similar prediction accuracy across these different model types. This reveals...
  4. ...://www.pavlopoulos-lab.org/quadrupia), the largest and, to our knowledge, most comprehensive database of putative G4 DNA-forming sequences to date, covering 108,534 species and encompassing 87,160,084 putative G4 DNA-forming sequences. The experimental validation of highly prevalent G4s across the tree of life suggests that our predictions...
  5. ..., SOX10, TCF4, ETS1, SREBF1, CEBPB, KLF2, and ETV5) were higher in either skeletal muscle or heart nonmyelinating Schwann cells. Analysis of the transcription regulatory programs by the SCENIC software predicted that FOXO1 (and YY1) could regulate XIST in heart and skeletal muscle Schwann cells...
  6. .... To date, the 72 relationship between ML's predictive accuracy and the aforementioned parameters, 73 particularly when applied to different traits, remains inadequately analyzed and lacks 74 comprehensiveness (Reel et al. 2021; Lourenço et al. 2024). 75 ML models often struggle to elucidate...
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  7. ...RNA-seq on 28 hpf samples. 151 This revealed strong enrichment for transcripts expressed in specific endoderm cell 152 populations including pancreatic, liver and intestinal markers (Fig. 1D, Supplemental Fig. 2, 153 Supplemental Table 1). However, we also note enrichment of markers of fin epithelia...
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  8. ...networks(Lee and Young 2013; Levine 66 et al. 2014; Long et al. 2016). Understanding these regulatory mechanisms beyond transcription 67 may reveal critical aspects of how cellular changes during aging contribute to PD pathology. 68 A pivotal study employing the multiome technique in human aging and PD...
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  9. ...rate) and successfully transcribes the full-length RNA (i.e., processivity) (Muniz et al. 2021).Advances in biochemical and high-throughput technologies have revealed that transcription elongation rates are highly regulated (Muniz et al. 2021). For example, depletion of elongation factor Paf1C...
  10. ...with the up- and downregulation of genes and use these signatures to reveal regulatory mechanisms previously unexplored in expression-based studies. Finally, we demonstrate that chromatin features are predictive of transcriptional activity, and we leverage these features to reconstruct chromatin...
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