SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
Hu, Jian, Li, Xiangjie, Coleman, Kyle, Schroeder, Amelia, Ma, Nan, Irwin, David J., Lee, Edward B., Shinohara, Russell T., Li, Mingyao
Published in Nature methods (01.11.2021)
Published in Nature methods (01.11.2021)
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Journal Article
Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data
Gredell, Devin A., Schroeder, Amelia R., Belk, Keith E., Broeckling, Corey D., Heuberger, Adam L., Kim, Soo-Young, King, D. Andy, Shackelford, Steven D., Sharp, Julia L., Wheeler, Tommy L., Woerner, Dale R., Prenni, Jessica E.
Published in Scientific reports (05.04.2019)
Published in Scientific reports (05.04.2019)
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Journal Article
Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry
Zhang, Qihuang, Jiang, Shunzhou, Schroeder, Amelia, Hu, Jian, Li, Kejie, Zhang, Baohong, Dai, David, Lee, Edward B., Xiao, Rui, Li, Mingyao
Published in Nature communications (08.07.2023)
Published in Nature communications (08.07.2023)
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Journal Article
SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning
Coleman, Kyle, Hu, Jian, Schroeder, Amelia, Lee, Edward B., Li, Mingyao
Published in Communications biology (07.04.2023)
Published in Communications biology (07.04.2023)
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Journal Article
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology
Zhang, Daiwei, Schroeder, Amelia, Yan, Hanying, Yang, Haochen, Hu, Jian, Lee, Michelle Y. Y., Cho, Kyung S., Susztak, Katalin, Xu, George X., Feldman, Michael D., Lee, Edward B., Furth, Emma E., Wang, Linghua, Li, Mingyao
Published in Nature biotechnology (01.09.2024)
Published in Nature biotechnology (01.09.2024)
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Journal Article
Global geographic patterns of heterospecific pollen receipt help uncover potential ecological and evolutionary impacts across plant communities worldwide
Arceo-Gómez, Gerardo, Schroeder, Amelia, Albor, Cristopher, Ashman, Tia-Lynn, Knight, Tiffany M., Bennett, Joanne M., Suarez, Brian, Parra-Tabla, Victor
Published in Scientific reports (30.05.2019)
Published in Scientific reports (30.05.2019)
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Journal Article
A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation
Lakkis, Justin, Schroeder, Amelia, Su, Kenong, Lee, Michelle Y. Y., Bashore, Alexander C., Reilly, Muredach P., Li, Mingyao
Published in Nature machine intelligence (01.11.2022)
Published in Nature machine intelligence (01.11.2022)
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Journal Article
Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learningResearch in context
Divya Choudhury, James M. Dolezal, Emma Dyer, Sara Kochanny, Siddhi Ramesh, Frederick M. Howard, Jayson R. Margalus, Amelia Schroeder, Jefree Schulte, Marina C. Garassino, Jakob N. Kather, Alexander T. Pearson
Published in EBioMedicine (01.09.2024)
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Published in EBioMedicine (01.09.2024)
Journal Article
Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning
Choudhury, Divya, Dolezal, James M., Dyer, Emma, Kochanny, Sara, Ramesh, Siddhi, Howard, Frederick M., Margalus, Jayson R., Schroeder, Amelia, Schulte, Jefree, Garassino, Marina C., Kather, Jakob N., Pearson, Alexander T.
Published in EBioMedicine (01.09.2024)
Published in EBioMedicine (01.09.2024)
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Journal Article
Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
Hu, Jian, Li, Xiangjie, Coleman, Kyle, Schroeder, Amelia, Irwin, David J, Lee, Edward B, Shinohara, Russell T, Li, Mingyao
Published in bioRxiv (02.12.2020)
Published in bioRxiv (02.12.2020)
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Paper
Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data
Gredell, Devin A., Schroeder, Amelia R., Belk, Keith E., Broeckling, Corey D., Heuberger, Adam L., Kim, Soo-Young, King, D. Andy, Shackelford, Steven D., Sharp, Julia L., Wheeler, Tommy L., Woerner, Dale R., Prenni, Jessica E.
Published in Mass Spectrometry Imaging in Food Analysis (2020)
Published in Mass Spectrometry Imaging in Food Analysis (2020)
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