Amelia Schroeder
Overview
Explore the profile of Amelia Schroeder including associated specialties, affiliations and a list of published articles.
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9
Citations
388
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Recent Articles
1.
Schroeder A, Loth M, Luo C, Yao S, Yan H, Zhang D, et al.
bioRxiv
. 2025 Mar;
PMID: 40060412
Recent advances in spatial transcriptomics (ST) technologies have transformed our ability to profile gene expression while retaining the crucial spatial context within tissues. However, existing ST platforms suffer from high...
2.
Coleman K, Schroeder A, Loth M, Zhang D, Park J, Sung J, et al.
Nat Methods
. 2025 Mar;
PMID: 40050700
No abstract available.
3.
Coleman K, Schroeder A, Loth M, Zhang D, Park J, Sung J, et al.
Nat Methods
. 2025 Jan;
22(3):635.
PMID: 39856234
No abstract available.
4.
Coleman K, Schroeder A, Loth M, Zhang D, Park J, Sung J, et al.
Nat Methods
. 2025 Jan;
22(3):530-538.
PMID: 39815104
Spatial molecular profiling has provided biomedical researchers valuable opportunities to better understand the relationship between cellular localization and tissue function. Effectively modeling multimodal spatial omics data is crucial for understanding...
5.
Choudhury D, Dolezal J, Dyer E, Kochanny S, Ramesh S, Howard F, et al.
EBioMedicine
. 2024 Aug;
107:105276.
PMID: 39197222
Background: Deployment and access to state-of-the-art precision medicine technologies remains a fundamental challenge in providing equitable global cancer care in low-resource settings. The expansion of digital pathology in recent years...
6.
Coleman K, Schroeder A, Li M
Nat Methods
. 2024 Aug;
21(8):1378-1381.
PMID: 39122938
No abstract available.
7.
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology
Zhang D, Schroeder A, Yan H, Yang H, Hu J, Lee M, et al.
Nat Biotechnol
. 2024 Jan;
42(9):1372-1377.
PMID: 38168986
Spatial transcriptomics (ST) has demonstrated enormous potential for generating intricate molecular maps of cells within tissues. Here we present iStar, a method based on hierarchical image feature extraction that integrates...
8.
Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry
Zhang Q, Jiang S, Schroeder A, Hu J, Li K, Zhang B, et al.
Nat Commun
. 2023 Jul;
14(1):4050.
PMID: 37422469
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity in health and disease. However, the lack of physical relationships among dissociated cells has limited its applications. To address...
9.
Coleman K, Hu J, Schroeder A, Lee E, Li M
Commun Biol
. 2023 Apr;
6(1):378.
PMID: 37029267
Spatially resolved transcriptomics (SRT) has advanced our understanding of the spatial patterns of gene expression, but the lack of single-cell resolution in spatial barcoding-based SRT hinders the inference of specific...
10.
Lakkis J, Schroeder A, Su K, Lee M, Bashore A, Reilly M, et al.
Nat Mach Intell
. 2023 Mar;
4(11):940-952.
PMID: 36873621
CITE-seq, a single-cell multi-omics technology that measures RNA and protein expression simultaneously in single cells, has been widely applied in biomedical research, especially in immune related disorders and other diseases...