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Publications by Yongjin Park

2021

He L, Loika Y, Park Y, consortium GTissue Exp, Bennett DA, Kellis M, et al. Exome-wide age-of-onset analysis reveals exonic variants in ERN1 and SPPL2C associated with Alzheimer's disease. Transl. Psychiatry. Springer Science and Business Media LLC; 2021; 11: 146.
Park Y, He L, Davila-Velderrain J, Hou L, Mohammadi S, Mathys H, et al. Single-cell deconvolution of 3,000 post-mortem brain samples for eQTL and GWAS dissection in mental disorders. Cold Spring Harbor Laboratory. 2021. p. 2021.01.21.426000.
Park YP, Kellis M. CoCoA-diff: counterfactual inference for single-cell gene expression analysis. Genome Biol. BioMed Central; 2021; 22: 1–23.
Xiong X, Hou L, Park YP, Molinie B, Consortium GTE, Gregory RI, et al. Genetic drivers of m6A methylation in human brain, lung, heart and muscle. Nat. Genet. 2021;.
Boix CA, James BT, Park YP, Meuleman W, Kellis M. Regulatory genomic circuitry of human disease loci by integrative epigenomics. Nature. 2021; 590: 300–307.
Park Y, Kellis M. Counterfactual inference for single-cell gene expression analysis. medRxiv. Cold Spring Harbor Laboratory Press; 2021;.

2019

2017

Park Y, Kang T-H, Friedmann T, Bader J. Temporal expression divergence of network modules. bioRxiv. 2017. p. 167734.
Park Y, Sarkar AK, Bhutani K, Kellis M. Multi-tissue polygenic models for transcriptome-wide association studies. bioRxiv. Cold Spring Harbor Labs Journals; 2017;: 107623.
Park Y, Sarkar A, He L, Davila-Velderrain J, De Jager PL, Kellis M. A Bayesian approach to mediation analysis predicts 206 causal target genes in Alzheimer's disease. bioRxiv. bioRxiv; 2017. p. 219428.

2015

Park Y, Kellis M. Deep learning for regulatory genomics. Nat. Biotechnol. 2015; 33: 825–826.

2013

2012

Park Y, Bader JS. How networks change with time. Bioinformatics. 2012; 28: i40–8.

2011

Park Y, Bader JS. Resolving the structure of interactomes with hierarchical agglomerative clustering. BMC Bioinformatics. 2011; 12 Suppl 1: S44.

2010

Park Y, Moore C, Bader JS. Dynamic networks from hierarchical bayesian graph clustering. PLoS One. 2010; 5: e8118.