{
  "abstract": "CDSeq2 combines reference-informed Bayesian deconvolution with gene-type prioritization for individual-level expression analysis from bulk RNA sequencing. Brain benchmarks showed accurate RNA-fraction estimates and expression recovery comparable to BayesPrism in excitatory neurons. Prioritization enriched accurately recovered profiles and supported continuous-phenotype and cell-type-specific expression quantitative trait locus (eQTL) analyses, with the strongest application evidence in excitatory neurons. Forty independently generated synthetic cohorts with local linkage disequilibrium evaluated a frozen scorer. In the principal stronger-effect setting, retaining 40% of candidate profiles increased eQTL precision from 77.6% to 92.6%. CDSeq2 delivers complete expression estimates with optional prioritization to support focused biological follow-up.",
  "abstract_shown": true,
  "affiliations": [
    "University of North Carolina Wilmington"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "K. Kang"
    },
    {
      "name": "K. Xie"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/11x4c09ass06q.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.14.751599",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.09.14.751599v1.full",
  "id": "11x4c09ass06q",
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  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioinformatics"
    ],
    [
      "openalex",
      "1312|Single-cell and spatial transcriptomics"
    ]
  ],
  "openalex": "W7213929332",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.09.14.751599v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-14",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/11x4c09ass06q.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:29Z",
      "native_id": "10.64898/2026.09.14.751599",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.09.14.751599v2"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioinformatics",
      "subfield": "bioinformatics"
    }
  ],
  "title": "Individual-level expression deconvolution and assessment of cross-sample variation",
  "title_text": "Individual-level expression deconvolution and assessment of cross-sample variation",
  "type": "preprint",
  "updated_at": "2026-10-30T12:29:04Z",
  "url": "https://research.draconitic.com/paper/11x4c09ass06q",
  "venue": "bioRxiv",
  "versions": []
}