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Schroeder, Amelia
39
results:
Search for persons
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Online (39)
Mediatypes
Articles (Online) (15)
Bookchapter (Online) (1)
OpenAccess-fulltext (23)
Sorted by: Relevance
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?
1
SpaDecon: cell-type deconvolution in spatial transcriptomic..:
Coleman, Kyle
;
Hu, Jian
;
Schroeder, Amelia
..
Communications Biology. 6 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
?
2
Leveraging spatial transcriptomics data to recover cell loc..:
Zhang, Qihuang
;
Jiang, Shunzhou
;
Schroeder, Amelia
...
Nature Communications. 14 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
?
3
A multi-use deep learning method for CITE-seq and single-ce..:
Lakkis, Justin
;
Schroeder, Amelia
;
Su, Kenong
...
Nature Machine Intelligence. 4 (2022) 11 - p. 940-952 , 2022
Link:
https://doi.org/10.1038/..
?
4
Statistical and machine learning methods for spatially reso..:
Hu, Jian
;
Schroeder, Amelia
;
Coleman, Kyle
...
Computational and Structural Biotechnology Journal. 19 (2021) - p. 3829-3841 , 2021
Link:
https://doi.org/10.1016/..
?
5
SpaGCN: Integrating gene expression, spatial location and h..:
Hu, Jian
;
Li, Xiangjie
;
Coleman, Kyle
...
Nature Methods. 18 (2021) 11 - p. 1342-1351 , 2021
Link:
https://doi.org/10.1038/..
?
6
Global geographic patterns of heterospecific pollen receipt..:
Arceo-Gómez, Gerardo
;
Schroeder, Amelia
;
Albor, Cristopher
...
Scientific Reports. 9 (2019) 1 - p. , 2019
Link:
https://doi.org/10.1038/..
?
7
Comparison of Machine Learning Algorithms for Predictive Mo..:
Gredell, Devin A.
;
Schroeder, Amelia R.
;
Belk, Keith E.
...
Scientific Reports. 9 (2019) 1 - p. , 2019
Link:
https://doi.org/10.1038/..
?
8
Leveraging spatial transcriptomics data to recover cell loc..:
Zhang, Qihuang
;
Jiang, Shunzhou
;
Schroeder, Amelia
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329686/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
9
SpaDecon: cell-type deconvolution in spatial transcriptomic..:
Coleman, Kyle
;
Hu, Jian
;
Schroeder, Amelia
..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082183/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
10
A multi-use deep learning method for CITE-seq and single-ce..:
Lakkis, Justin
;
Schroeder, Amelia
;
Su, Kenong
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9979929/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
11
Statistical and machine learning methods for spatially reso..:
Hu, Jian
;
Schroeder, Amelia
;
Coleman, Kyle
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273359/. , 2021
Link:
http://www.ncbi.nlm.nih...
?
12
Global Geographic Patterns of Heterospecific Pollen Receipt..:
Arceo-Gómez, Gerardo
;
Schroeder, Amelia
;
Albor, Cristopher
...
https://dc.etsu.edu/etsu-works/9879. , 2019
Link:
https://dc.etsu.edu/etsu..
?
13
Comparison of Machine Learning Algorithms for Predictive Mo..:
Gredell, Devin A
;
Schroeder, Amelia R
;
Belk, Keith E
...
https://dc.etsu.edu/etsu-works/9875. , 2019
Link:
https://dc.etsu.edu/etsu..
?
14
Comparison of Machine Learning Algorithms for Predictive Mo..:
Gredell, Devin A
;
Schroeder, Amelia R
;
Belk, Keith E
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450883/. , 2019
Link:
http://www.ncbi.nlm.nih...
?
15
Leveraging spatial transcriptomics data to recover cell loc..:
Qihuang Zhang
;
Shunzhou Jiang
;
Amelia Schroeder
...
https://doi.org/10.1038/s41467-023-39895-3. , 2023
Link:
https://doi.org/10.1038/..
1-15
