Dylan M Cable
Overview
Explore the profile of Dylan M Cable including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
5
Citations
442
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Zou L, Cable D, Barrera-Lopez I, Zhao T, Murray E, Aryee M, et al.
Genome Biol
. 2024 Jul;
25(1):180.
PMID: 38978101
Spatial transcriptomics technologies permit the study of the spatial distribution of RNA at near-single-cell resolution genome-wide. However, the feasibility of studying spatial allele-specific expression (ASE) from these data remains uncharacterized....
2.
Langlieb J, Sachdev N, Balderrama K, Nadaf N, Raj M, Murray E, et al.
Nature
. 2023 Dec;
624(7991):333-342.
PMID: 38092915
The function of the mammalian brain relies upon the specification and spatial positioning of diversely specialized cell types. Yet, the molecular identities of the cell types and their positions within...
3.
Langlieb J, Sachdev N, Balderrama K, Nadaf N, Raj M, Murray E, et al.
bioRxiv
. 2023 Mar;
PMID: 36945580
The function of the mammalian brain relies upon the specification and spatial positioning of diversely specialized cell types. Yet, the molecular identities of the cell types, and their positions within...
4.
Cable D, Murray E, Shanmugam V, Zhang S, Zou L, Diao M, et al.
Nat Methods
. 2022 Sep;
19(9):1076-1087.
PMID: 36050488
A central problem in spatial transcriptomics is detecting differentially expressed (DE) genes within cell types across tissue context. Challenges to learning DE include changing cell type composition across space and...
5.
Cable D, Murray E, Zou L, Goeva A, Macosko E, Chen F, et al.
Nat Biotechnol
. 2021 Feb;
40(4):517-526.
PMID: 33603203
A limitation of spatial transcriptomics technologies is that individual measurements may contain contributions from multiple cells, hindering the discovery of cell-type-specific spatial patterns of localization and expression. Here, we develop...