Biorxiv/in press

https://www.biorxiv.org/content/10.1101/2020.09.08.288563v2
(09/09/20; revised 08/13/21)
Dey KK, Kim SS, Gazal S, Nasser J, Engreitz JM, Price AL. Integrative approaches to improve the informativeness of deep learning models for human complex diseases. bioRxiv.

 

https://biorxiv.org/cgi/content/short/2020.09.23.310748v1
(09/24/20)
Schoech AP, Weissbrod O, O’Connor LJ, Patterson N, Shi H, Reshef Y, Price AL. Negative short-range genomic autocorrelation of causal effects on human complex traits. bioRxiv.

 

https://www.biorxiv.org/content/10.1101/2021.03.19.436212v2
(03/19/21; revised 11/23/21)
Jagadeesh KA*, Dey KK*, Montoro DT, Gazal S, Engreitz JM, Xavier RJ, Price AL**, Regev A**. Identifying disease-critical cell types and cellular processes across the human body by integration of single-cell profiles and human genetics. bioRxiv. Accepted in principle, Nat Genet.

 

https://www.biorxiv.org/content/10.1101/2021.05.20.445067v1
(05/21/21)
Kim SS, Jagadeesh K, Dey KK, Shen AZ, Raychaudhuri S, Kellis M, Price AL. Leveraging single-cell ATAC-seq to identify disease-critical fetal and adult brain cell types. bioRxiv.

 

https://www.biorxiv.org/content/10.1101/2021.09.24.461597v2
(09/28/21; revised: 03/04/22)
Zhang MJ*, Hou K*, Dey KK, Jagadeesh KA, Weinand K, Sajaye S, Taychameekiatchai A, Rao P, Pisco AO, Zou J, Wang B, Gandal M, Raychaudhuri S, Pasaniuc B**, Price AL**. Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data. bioRxiv. Accepted in principle, Nat Genet.