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SpatialSPM: statistical parametric mapping for the comparison of gene expression pattern images in multiple spatial transcriptomic datasets
- Nucleic Acids Res., Apr 27 2024, gkae293 | https://doi.org/10.1093/nar/gkae293
- 2024-04
- 의약학
- 한빛사논문
Whole-brain dopamine transporter binding pattern predicts survival in multiple system atrophy
- Transl. Neurodegener., Apr 02 2024, 13 (1) | https://doi.org/10.1186/s40035-024-00411-2
- 2024-04
- 의약학
- 한빛사논문
Comprehensive characterization of early-programmed tumor microenvironment by tumor-associated macrophages reveals galectin-1 as an immune modulatory target in breast cancer
- Theranostics, 2024 Jan 1;14(2):843-860 | https://doi.org/10.7150/thno.88917
- 2024-01
- 의약학
- 한빛사논문
Spatiotemporal characterization of glial cell activation in an Alzheimer's disease model by spatially resolved transcriptomics
- Exp. Mol. Med., Dec 01 2023, | https://doi.org/10.1038/s12276-023-01123-9
- 2023-12
- 바이오·의료융합
- 한빛사논문
spSeudoMap: cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data
- Genome Med., 2023 Mar 17;15(1):19 | https://doi.org/10.1186/s13073-023-01168-5
- 2023-03
- 바이오·의료융합
- 한빛사논문
Mannosylated-serum albumin nanoparticle imaging to monitor tumor-associated macrophages under anti-PD1 treatment
- J. Nanobiotechnol., 2023 Jan 27;21(1):31 | https://doi.org/10.1186/s12951-023-01791-9
- 2023-01
- 의약학
- 한빛사논문
Spatial Transcriptomics-Based Identification of Molecular Markers for Nanomedicine Distribution in Tumor Tissue
- Small Methods, First published: 30 September 2022 | https://doi.org/10.1002/smtd.202201091
- 2022-09
- 의약학
- 한빛사논문
Image-level trajectory inference of tau pathology using variational autoencoder for Flortaucipir PET
- Eur. J. Nucl. Med. Mol. Imaging, Issue Date July 2022 | https://doi.org/10.1007/s00259-021-05662-z
- 2022-07
- 의약학
- 한빛사논문
CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data
- Nucleic Acids Res., Published: 22 February 2022 | https://doi.org/10.1093/nar/gkac084
- 2022-02
- 의약학
- 한빛사논문
Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging
- Behav. Brain Res., Volume 344, 15 May 2018, Pages 103-109 | https://doi.org/10.1016/j.bbr.2018.02.017
- 2018-05
- 의약학
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