Lambda Moses
Overview
Explore the profile of Lambda Moses including associated specialties, affiliations and a list of published articles.
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9
Citations
347
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Recent Articles
1.
Moses L, Huseynov A, Rich J, Pachter L
bioRxiv
. 2025 Mar;
PMID: 40060564
SpatialFeatureExperiment is a Bioconductor package that leverages the versatility of Simple Features for spatial data analysis and SpatialExperiment for single-cell -omics to provide an expansive and convenient S4 class for...
2.
Sullivan D, Min K, Hjorleifsson K, Luebbert L, Holley G, Moses L, et al.
Nat Protoc
. 2024 Oct;
20(3):587-607.
PMID: 39390263
The term 'RNA-seq' refers to a collection of assays based on sequencing experiments that involve quantifying RNA species from bulk tissue, single cells or single nuclei. The kallisto, bustools and...
3.
Jackson K, Booeshaghi A, Galvez-Merchan A, Moses L, Chari T, Kim A, et al.
bioRxiv
. 2024 Jul;
PMID: 39071320
Spatial homogeneous regions (SHRs) in tissues are domains that are homogeneous with respect to cell type composition. We present a method for identifying SHRs using spatial transcriptomics data, and demonstrate...
4.
Hutchison W, Keyes T, Crowell H, Serizay J, Soneson C, Davis E, et al.
Nat Methods
. 2024 Jun;
21(7):1166-1170.
PMID: 38877315
The growth of omic data presents evolving challenges in data manipulation, analysis and integration. Addressing these challenges, Bioconductor provides an extensive community-driven biological data analysis platform. Meanwhile, tidy R programming...
5.
Hutchison W, Keyes T, Crowell H, Serizay J, Soneson C, Davis E, et al.
bioRxiv
. 2024 Jun;
PMID: 38826347
The growth of omic data presents evolving challenges in data manipulation, analysis, and integration. Addressing these challenges, Bioconductor provides an extensive community-driven biological data analysis platform. Meanwhile, tidy R programming...
6.
Rich J, Moses L, Einarsson P, Jackson K, Luebbert L, Booeshaghi A, et al.
bioRxiv
. 2024 Apr;
PMID: 38617255
Standard single-cell RNA-sequencing analysis (scRNA-seq) workflows consist of converting raw read data into cell-gene count matrices through sequence alignment, followed by analyses including filtering, highly variable gene selection, dimensionality reduction,...
7.
Sullivan D, Min K, Hjorleifsson K, Luebbert L, Holley G, Moses L, et al.
bioRxiv
. 2023 Dec;
PMID: 38045414
The term "RNA-seq" refers to a collection of assays based on sequencing experiments that involve quantifying RNA species from bulk tissue, from single cells, or from single nuclei. The kallisto,...
8.
Moses L, Einarsson P, Jackson K, Luebbert L, Booeshaghi A, Antonsson S, et al.
bioRxiv
. 2023 Aug;
PMID: 37645732
Exploratory spatial data analysis (ESDA) can be a powerful approach to understanding single-cell genomics datasets, but it is not yet part of standard data analysis workflows. In particular, geospatial analyses,...
9.
10.
Moses L, Pachter L
Nat Methods
. 2022 Mar;
19(5):534-546.
PMID: 35273392
The function of many biological systems, such as embryos, liver lobules, intestinal villi, and tumors, depends on the spatial organization of their cells. In the past decade, high-throughput technologies have...