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Cited by in F6Publishing
For: Reshef YA, Rumker L, Kang JB, Nathan A, Korsunsky I, Asgari S, Murray MB, Moody DB, Raychaudhuri S. Co-varying neighborhood analysis identifies cell populations associated with phenotypes of interest from single-cell transcriptomics. Nat Biotechnol 2021. [PMID: 34675423 DOI: 10.1038/s41587-021-01066-4] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Boyeau P, Hong J, Gayoso A, Jordan MI, Azizi E, Yosef N. Deep generative modeling for quantifying sample-level heterogeneity in single-cell omics.. [DOI: 10.1101/2022.10.04.510898] [Reference Citation Analysis]
2 Chen C, Crawford E, Stanley N. A Graph Coarsening Algorithm for Compressing Representations of Single-Cell Data with Clinical or Experimental Attributes.. [DOI: 10.1101/2022.07.30.502142] [Reference Citation Analysis]
3 Atif J, Thoeni C, Bader GD, McGilvray ID, MacParland SA. Unraveling the Complexity of Liver Disease One Cell at a Time. Semin Liver Dis 2022;42:250-70. [PMID: 36008091 DOI: 10.1055/s-0042-1755272] [Reference Citation Analysis]
4 Nathan A, Asgari S, Ishigaki K, Valencia C, Amariuta T, Luo Y, Beynor JI, Baglaenko Y, Suliman S, Price AL, Lecca L, Murray MB, Moody DB, Raychaudhuri S. Single-cell eQTL models reveal dynamic T cell state dependence of disease loci. Nature 2022. [PMID: 35545678 DOI: 10.1038/s41586-022-04713-1] [Cited by in Crossref: 5] [Cited by in F6Publishing: 8] [Article Influence: 5.0] [Reference Citation Analysis]
5 Zhang F, Jonsson AH, Nathan A, Wei K, Millard N, Xiao Q, Gutierrez-arcelus M, Apruzzese W, Watts GFM, Weisenfeld D, Kang JB, Rumker L, Mears J, Slowikowski K, Weinand K, Orange DE, Rangel-moreno J, Geraldino-pardilla L, Deane KD, Tabechian D, Ceponis A, Firestein GS, Maybury M, Sahbudin I, Ben-artzi A, Mandelin AM, Nerviani A, Rivellese F, Pitzalis C, Hughes LB, Horowitz D, Dicarlo E, Gravallese EM, Boyce BF, Moreland LW, Goodman SM, Perlman H, Holers VM, Liao KP, Filer A, Bykerk VP, Rao DA, Donlin LT, Anolik JH, Brenner MB, Raychaudhuri S, Albrecht J, Barnas JL, Bathon JM, Boyle DL, Bridges SL, Campbell D, Carr HL, Chicoine A, Cordle A, Curtis M, Dunn P, Forbess L, Gregersen PK, Guthridge JM, Ivashkiv LB, Ishigaki K, James JA, Keras G, Korsunsky I, Lakhanpal A, Lederer JA, Li ZJ, Li Y, Mcdavid A, Meednu N, Mantel I, Mcgeachy MJ, Raza K, Reshef Y, Ritchlin C, Robinson WH, Sakaue S, Seifert JA, Smith MH, Scheel-toellner D, Utz PJ, Weisman MH, Zhu Z, Accelerating Medicines Partnership Program: Rheumatoid Arthritis and Systemic Lupus Erythematosus (AMP RA/SLE) Network. Cellular deconstruction of inflamed synovium defines diverse inflammatory phenotypes in rheumatoid arthritis.. [DOI: 10.1101/2022.02.25.481990] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]