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  1. ...Understanding brain aging can help us reveal the cause of neurodegenerative diseases (Cole and Franke 2017; Buckley et al. 2023; Sun et al. 2024), whose risk increases with aging. The spatial transcriptomic data measured in the brain stratified by age groups provide valuable resources to analyze the effect of spatial...
  2. ...Quadrupia provides a comprehensive catalog of G-quadruplexes across s from the tree of life Nikol Chantzi1,11, Akshatha Nayak1,11, Fotis A. Baltoumas2,3,11, Eleni Aplakidou2,3, Shiau Wei Liew4,5, Jesslyn Elvaretta Galuh4,5, Michail Patsakis1, Austin Montgomery1, Camille Moeckel1, Ioannis Mouratidis...
  3. ..., Euclidean distance provides a straightforward and intuitive way to quantify overall expression shifts. Also, a benchmarking study (Ji et al. 2023) has shown Euclidean distance to be one of the top-performing metrics for measuring cell-to-cell similarity in single-cell transcriptomics data.We then use k...
  4. ...analysis and have not been evaluated in the single-cell setting. For example, Sagittarius performs cross-species and cross-cell-line inference of bulk transcriptomic profiles through a transformer model (Woicik et al. 2023), and chronODE integrates bulk multiomics time-series data to model the temporal...
  5. ...SNVs to disease, several platforms have been developed to investigate their roles. SynMICdb (Sharma et al. 2019) focuses on sSNVs in cancer s, providing integrated data on gene and cancer associations. Another resource, dbDSM (Wen et al. 2016), catalogs disease-related sSNVs manually curated from published...
  6. ...sizes for reliable GCN inference. recount3, a data set with 316,443 processed human RNA-seq samples, provides an opportunity to improve network reconstruction. However, GCN inference from public data is challenged by confounders and inconsistent labeling. To address this, we develop a pipeline...
  7. ..., particularly indels and substitution among isoforms from its coalescence of exon's splicing information and their isoform protein sequences, is discussed below.Inferring protein sequence indel and substitution from Block-I attributesEUID's Block-I attributes provide insights into coding scope of exons...
  8. ...equally to this work. Corresponding author: johnq@hsph.harvard.eduAbstractGene regulatory networks (GRNs) are effective tools for inferring complex interactions between molecules that regulate biological processes and hence can provide insights into drivers of biological systems. Inferring coexpression...
  9. ...size indicating cell counts. (G) Ligand–receptor interactions between the surface ectoderm and other cell types.At E8.5, surface ectoderm serves as a Wnt ligand provider for several biological processes, such as neural crest development (García-Castro et al. 2002) and optic cup morphogenesis (Kobayashi...
  10. ...Pan-based inference using integer programming Ghanshyam Chandra1, Md Helal Hossen2, Stephan Scholz3,4, Alexander T. Dilthey3,4, Daniel Gibney2 and Chirag Jain1 1Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, Karnataka 560012, India; 2Department of Computer...
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