Past week
All results
- All results
- Verbatim
scholar.google.com › citations
6 days ago · MTWAS's improvement in prediction accuracy can be attributed to three aspects: (i) the imputation for unobserved entries in expression matrices utilizes cross- ...
6 days ago · Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage wgs-based imputation reference panel. Eur. J. Hum ...
2 days ago · By enhancing the accuracy of genetic diagnostics, particularly in the reanalysis of rare and undiagnosed cases, our framework aims to improve patient outcomes ...
Missing: Inferring | Show results with:Inferring
4 days ago · By identifying conceptual gaps in the literature and existing reviews, we devise a taxonomy grounded on the inductive bias of neural imputation frameworks, ...
Missing: Inferring | Show results with:Inferring
6 days ago · Using genetic variants as instrumental variables can effectively reduce biases and confounding factors, thereby increasing the accuracy of causal inference.
Single nucleus RNA-sequencing integrated into risk variant ...
www.thelancet.com › article › fulltext
6 days ago · We hypothesised that incorporation of single-cell expression data into a genetic risk variant colocalization and MR analysis will help determine adipose tissue- ...
7 days ago · We conducted an exome-wide association study of VV using whole-exome sequencing data from the UK Biobank, and focused on common and rare variants using single- ...
2 days ago · The aim of the study was to assess the effect of selective genotyping strategies on prediction accuracy and bias using linear and nonlinear genomic models in ...
7 days ago · Our extensive simulation studies demonstrate that LDER-GE performs better than LDSC-based approaches by enhancing statistical efficiency by ~23%. This ...
6 days ago · This framework will integrate multi-omics data across biological levels, organism hierarchies, and species to predict causal genotype-environment-phenotype ...