DigitalCommons@University of Nebraska
metadata only
Cis-variant Gene-expression Association Analysis: A Targeted Approach to Identify Functional Cis-regulatory Variation
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The complementary roles of rare variant burden scores and common variant polygenic risk scores in genetic risk polygenic risk scores in genetic risk prediction of complex disorders#989947
- Variant annotation across homologous proteins (Paralogue Annotation) identifies disease-causing missense variants with high precision, and is widely applicable across protein families#361542
- Gene set analysis for time-to-event outcome: comparison of a new approach based on the generalized Berk–Jones statistic with existing methods in presence of intra gene-set correlation#253960
- A Comparison of Probe-Level and Probeset Models for Small-Sample Gene Expression Data#356930
- A Functional <i>FCGR2A</i> Haplotype Associated with Rheumatoid Arthritis Determines Circulating Soluble FcγRIIa Levels and Immune Complex Signalling#478514
Record · ID 420091
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive