Detalhe da pesquisa
1.
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network.
Nat Methods;
18(11): 1342-1351, 2021 11.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34711970
2.
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology.
Nat Biotechnol;
2024 Jan 02.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38168986
3.
SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning.
Commun Biol;
6(1): 378, 2023 04 07.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37029267
4.
Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry.
Nat Commun;
14(1): 4050, 2023 07 08.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37422469
5.
A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation.
Nat Mach Intell;
4(11): 940-952, 2022 Nov.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36873621
6.
Statistical and machine learning methods for spatially resolved transcriptomics with histology.
Comput Struct Biotechnol J;
19: 3829-3841, 2021.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34285782
7.
Global geographic patterns of heterospecific pollen receipt help uncover potential ecological and evolutionary impacts across plant communities worldwide.
Sci Rep;
9(1): 8086, 2019 05 30.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31147606
8.
Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data.
Sci Rep;
9(1): 5721, 2019 04 05.
Artigo
em Inglês
| MEDLINE
| ID: mdl-30952873