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Schroeder, Amelia
34
results:
Search for persons
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Online (34)
Mediatypes
Articles (Online) (16)
Bookchapter (Online) (1)
OpenAccess-fulltext (17)
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?
1
Unlocking the power of spatial omics with AI:
Coleman, Kyle
;
Schroeder, Amelia
;
Li, Mingyao
Nature Methods. 21 (2024) 8 - p. 1378-1381 , 2024
Link:
https://doi.org/10.1038/..
?
2
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/..
?
3
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/..
?
4
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/..
?
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
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/..
?
7
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/..
?
8
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/..
?
9
Global geographic patterns of heterospecific pollen receipt..:
Arceo-Gómez, Gerardo
;
Schroeder, Amelia
;
Albor, Cristopher
...
Arceo-Gómez , G , Schroeder , A , Albor , C , Ashman , T L , Knight , T M , Bennett , J M , Suarez , B & Parra-Tabla , V 2019 , ' Global geographic patterns of heterospecific pollen receipt help uncover potential ecological and evolutionary impacts across plant communities worldwide ' , Scientific Reports , vol. 9 , no. 1 , 8086 , pp. 1-9 . https://doi.org/10.1038/s41598-019-44626-0. , 2019
Link:
https://researchprofiles..
?
10
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..
?
11
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..
?
12
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/..
?
13
SpaDecon: cell-type deconvolution in spatial transcriptomic..:
Kyle Coleman
;
Jian Hu
;
Amelia Schroeder
..
https://doi.org/10.1038/s42003-023-04761-x. , 2023
Link:
https://doi.org/10.1038/..
?
14
Statistical and machine learning methods for spatially reso..:
Jian Hu
;
Amelia Schroeder
;
Kyle Coleman
...
http://www.sciencedirect.com/science/article/pii/S2001037021002907. , 2021
Link:
https://doi.org/10.1016/..
?
15
Natural or anthropogenic variability? A long-term pattern o..:
Camatti, Elisa
;
Acri, Francesco
;
De Lazzari, Amelia
...
Frontiers in Marine Science. 10 (2023) - p. , 2023
Link:
https://doi.org/10.3389/..
1-15