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Cited by in F6Publishing
For: Demetci P, Cheng W, Darnell G, Zhou X, Ramachandran S, Crawford L. Multi-scale inference of genetic trait architecture using biologically annotated neural networks. PLoS Genet 2021;17:e1009754. [PMID: 34411094 DOI: 10.1371/journal.pgen.1009754] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Darnell G, Smith SP, Udwin D, Ramachandran S, Crawford L. Partitioning Tagged Non-Additive Genetic Effects in Summary Statistics Provides Evidence of Pervasive Epistasis in Complex Traits.. [DOI: 10.1101/2022.07.21.501001] [Reference Citation Analysis]
2 Cheng W, Ramachandran S, Crawford L. Uncertainty quantification in variable selection for genetic fine-mapping using bayesian neural networks. iScience 2022;25:104553. [PMID: 35769876 DOI: 10.1016/j.isci.2022.104553] [Reference Citation Analysis]
3 Chen RJ, Chen C, Li Y, Chen TY, Trister AD, Krishnan RG, Mahmood F. Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. [DOI: 10.1109/cvpr52688.2022.01567] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Janizek JD, Spiro A, Celik S, Blue BW, Russell JC, Lee T, Kaeberlin M, Lee S. Principled feature attribution for unsupervised gene expression analysis.. [DOI: 10.1101/2022.05.03.490535] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Zhao T, Fernando R, Cheng H. Interpretable artificial neural networks incorporating Bayesian alphabet models for genome-wide prediction and association studies. G3 (Bethesda) 2021;11:jkab228. [PMID: 34499126 DOI: 10.1093/g3journal/jkab228] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]