Searching journal content for articles similar to Siahpirani et al. 32 (7): 1367.

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  1. ...125 transcriptional program. Aggregating TFs according to their learned module yields meta-TF–target 126 CSNs with only a few meta-TFs. 127 Signalling inference In parallel, we incorporate prior knowledge by mapping observed coex- 128 pression edges to curated regulatory and signalling interaction...
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  2. ...data (Pratapa et al. 2020). Initial methods primarily rely on correlation or mutual information to infer regulatory interactions. For instance, weighted gene coexpression network analysis (WGCNA) (Langfelder and Horvath 2008) clusters coexpressed genes into modules to construct gene associations...
  3. ...of genes examined, a potential solution to increase statistical power by reducing network complexity has been to utilize methods such as WGCNA that infer modules or groups of coexpressed genes that are regulated by one or more transcription factors rather than individual gene interactions (Segal et al...
  4. ...Lactobacillus can enhance learning and memory (Zhang et al. 2022a) and modify 75 the sugar sensitivity of honey bees (Zheng et al. 2017; Zhang et al. 2022b). Gut microbiota 76 can also affect the amount of host neurotransmitters (Zhang et al. 2022b) and modulate the 77 social network (Liberti et al. 2022...
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  5. ...and multimodal profiles across time, and extrapolate single-cell profiles in a missing modality. We apply Sunbear to reveal sex-biased transcription during mouse embryonic development and predict dynamic relationships between epigenetic priming and transcription for cells in which multimodal profiles...
  6. ...–specific TFs in regulating key genes associated with AD progression, linking transcriptional changes to genetic risk loci and highlighting potential mechanisms underlying disease pathology.View larger version: In this window In a new window Figure 5. Cell type–specific TF regulatory network. (A) TF regulatory...
  7. ....The transcriptional state of a cell is intricately controlled by a gene regulatory network (GRN) comprising numerous transcription factors (TFs) and their target genes. Coordinating with other regulatory elements, GRNs modulate the cell's phenotype, identity, and function in a dynamic and specific manner (Levine...
  8. ...@eitech.edu.cnAbstractDeciphering the relationships between cis-regulatory elements (CREs) and target gene expression has been a long-standing unsolved problem in molecular biology, and the dynamics of CREs in different cell types make this problem more challenging. To address this challenge, we propose a scalable computational framework...
  9. ...budget with glucose to maintain their active winter lifestyle.To examine metabolic dynamics and regulatory changes throughout Dehnel's phenomenon, and its potential parallels to other wintering strategies, we conducted a multiomic analysis of S. araneus across seasonal time points that match...
  10. ...to mediate 57 consistent phenotypic outcomes there must also be consistent regulation of such genes by 58 cis-regulatory modules (CRMs). CRMs consist of clusters of transcription factor binding sites 59 (TFBSs) that regulate the expression of target genes through collective or competitive binding 60...
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