132 related articles for article (PubMed ID: 38160299)
21. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
22. Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning.
Rahaman MM; Millar EKA; Meijering E
Sci Rep; 2023 Aug; 13(1):13604. PubMed ID: 37604916
[TBL] [Abstract][Full Text] [Related]
23. TIST: Transcriptome and Histopathological Image Integrative Analysis for Spatial Transcriptomics.
Shan Y; Zhang Q; Guo W; Wu Y; Miao Y; Xin H; Lian Q; Gu J
Genomics Proteomics Bioinformatics; 2022 Oct; 20(5):974-988. PubMed ID: 36549467
[TBL] [Abstract][Full Text] [Related]
24. SpaCell: integrating tissue morphology and spatial gene expression to predict disease cells.
Tan X; Su A; Tran M; Nguyen Q
Bioinformatics; 2020 Apr; 36(7):2293-2294. PubMed ID: 31808789
[TBL] [Abstract][Full Text] [Related]
25. A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images.
Li YJ; Chou HH; Lin PC; Shen MR; Hsieh SY
J Transl Med; 2023 Oct; 21(1):731. PubMed ID: 37848862
[TBL] [Abstract][Full Text] [Related]
26. SpatialcoGCN: deconvolution and spatial information-aware simulation of spatial transcriptomics data via deep graph co-embedding.
Yin W; Wan Y; Zhou Y
Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38557675
[TBL] [Abstract][Full Text] [Related]
27. Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images.
Zheng T; Chen W; Li S; Quan H; Zou M; Zheng S; Zhao Y; Gao X; Cui X
Comput Med Imaging Graph; 2023 Sep; 108():102275. PubMed ID: 37567046
[TBL] [Abstract][Full Text] [Related]
28. Spatial cellular architecture predicts prognosis in glioblastoma.
Zheng Y; Carrillo-Perez F; Pizurica M; Heiland DH; Gevaert O
Nat Commun; 2023 Jul; 14(1):4122. PubMed ID: 37433817
[TBL] [Abstract][Full Text] [Related]
29. Spatial transcriptomics data and analytical methods: An updated perspective.
Danishuddin ; Khan S; Kim JJ
Drug Discov Today; 2024 Mar; 29(3):103889. PubMed ID: 38244672
[TBL] [Abstract][Full Text] [Related]
30. Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning.
Laubscher E; Wang XJ; Razin N; Dougherty T; Xu RJ; Ombelets L; Pao E; Graf W; Moffitt JR; Yue Y; Van Valen D
bioRxiv; 2024 Feb; ():. PubMed ID: 37732188
[TBL] [Abstract][Full Text] [Related]
31. Deep Learning Based Analysis of Histopathological Images of Breast Cancer.
Xie J; Liu R; Luttrell J; Zhang C
Front Genet; 2019; 10():80. PubMed ID: 30838023
[TBL] [Abstract][Full Text] [Related]
32. Inferring single-cell spatial gene expression with tissue morphology via explainable deep learning.
Zhao Y; Alizadeh E; Liu Y; Xu M; Mahoney JM; Li S
bioRxiv; 2024 Jun; ():. PubMed ID: 38915550
[TBL] [Abstract][Full Text] [Related]
33. iIMPACT: integrating image and molecular profiles for spatial transcriptomics analysis.
Jiang X; Wang S; Guo L; Zhu B; Wen Z; Jia L; Xu L; Xiao G; Li Q
Genome Biol; 2024 Jun; 25(1):147. PubMed ID: 38844966
[TBL] [Abstract][Full Text] [Related]
34. DIST: spatial transcriptomics enhancement using deep learning.
Zhao Y; Wang K; Hu G
Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36653906
[TBL] [Abstract][Full Text] [Related]
35. BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images.
Lu Z; Zhan X; Wu Y; Cheng J; Shao W; Ni D; Han Z; Zhang J; Feng Q; Huang K
Genomics Proteomics Bioinformatics; 2021 Dec; 19(6):1032-1042. PubMed ID: 34280546
[TBL] [Abstract][Full Text] [Related]
36. STEM enables mapping of single-cell and spatial transcriptomics data with transfer learning.
Hao M; Luo E; Chen Y; Wu Y; Li C; Chen S; Gao H; Bian H; Gu J; Wei L; Zhang X
Commun Biol; 2024 Jan; 7(1):56. PubMed ID: 38184694
[TBL] [Abstract][Full Text] [Related]
37. SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information.
Li H; Li H; Zhou J; Gao X
Bioinformatics; 2022 Oct; 38(21):4878-4884. PubMed ID: 36063455
[TBL] [Abstract][Full Text] [Related]
38. Uncover spatially informed variations for single-cell spatial transcriptomics with STew.
Guo N; Vargas J; Reynoso S; Fritz D; Krishna R; Wang C; Zhang F
Bioinform Adv; 2024; 4(1):vbae064. PubMed ID: 38827413
[TBL] [Abstract][Full Text] [Related]
39. A Spatial Transcriptomics Browser for Discovering Gene Expression Landscapes across Microscopic Tissue Sections.
Schmidt M; Avagyan S; Reiche K; Binder H; Loeffler-Wirth H
Curr Issues Mol Biol; 2024 May; 46(5):4701-4720. PubMed ID: 38785552
[TBL] [Abstract][Full Text] [Related]
40. Deep learning exploration of single-cell and spatially resolved cancer transcriptomics to unravel tumour heterogeneity.
Halawani R; Buchert M; Chen YP
Comput Biol Med; 2023 Sep; 164():107274. PubMed ID: 37506451
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
