These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
164 related articles for article (PubMed ID: 38160301)
1. Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining. Srinivasan G; Davis MJ; LeBoeuf MR; Fatemi M; Azher ZL; Lu Y; Diallo AB; Saldias Montivero MK; Kolling FW; Perrard L; Salas LA; Christensen BC; Palys TJ; Karagas MR; Palisoul SM; Tsongalis GJ; Vaickus LJ; Preum SM; Levy JJ Pac Symp Biocomput; 2024; 29():477-491. PubMed ID: 38160301 [TBL] [Abstract][Full Text] [Related]
2. Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining. Srinivasan G; Davis M; LeBoeuf M; Fatemi M; Azher Z; Lu Y; Diallo A; Montivero MS; Kolling F; Perrard L; Salas L; Christensen B; Palisoul S; Tsongalis G; Vaickus L; Preum S; Levy J bioRxiv; 2023 Jul; ():. PubMed ID: 37577612 [TBL] [Abstract][Full Text] [Related]
3. Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: A pilot study. Fatemi M; Feng E; Sharma C; Azher Z; Goel T; Ramwala O; Palisoul SM; Barney RE; Perreard L; Kolling FW; Salas LA; Christensen BC; Tsongalis GJ; Vaickus LJ; Levy JJ J Pathol Inform; 2023; 14():100308. PubMed ID: 37114077 [TBL] [Abstract][Full Text] [Related]
4. An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology. Fatemi MY; Lu Y; Diallo AB; Srinivasan G; Azher ZL; Christensen BC; Salas LA; Tsongalis GJ; Palisoul SM; Perreard L; Kolling FW; Vaickus LJ; Levy JJ Brief Bioinform; 2024 Sep; 25(6):. PubMed ID: 39367648 [TBL] [Abstract][Full Text] [Related]
5. The Overlooked Role of Specimen Preparation in Bolstering Deep Learning-Enhanced Spatial Transcriptomics Workflows. Fatemi MY; Lu Y; Diallo AB; Srinivasan G; Azher ZL; Christensen BC; Salas LA; Tsongalis GJ; Palisoul SM; Perreard L; Kolling FW; Vaickus LJ; Levy JJ medRxiv; 2023 Oct; ():. PubMed ID: 37873287 [TBL] [Abstract][Full Text] [Related]
6. Nextflow pipeline for Visium and H&E data from patient-derived xenograft samples. Domanskyi S; Srivastava A; Kaster J; Li H; Herlyn M; Rubinstein JC; Chuang JH Cell Rep Methods; 2024 May; 4(5):100759. PubMed ID: 38626768 [TBL] [Abstract][Full Text] [Related]
7. Spatial Transcriptomics in Kidney Tissue. Raghubar AM; Crawford J; Jones K; Lam PY; Andersen SB; Matigian NA; Ng MSY; Healy H; Kassianos AJ; Mallett AJ Methods Mol Biol; 2023; 2664():233-282. PubMed ID: 37423994 [TBL] [Abstract][Full Text] [Related]
8. Integrating spatial transcriptomics and bulk RNA-seq: predicting gene expression with enhanced resolution through graph attention networks. Baul S; Tanvir Ahmed K; Jiang Q; Wang G; Li Q; Yong J; Zhang W Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38960406 [TBL] [Abstract][Full Text] [Related]
9. Computational exploration of cellular communication in skin from emerging single-cell and spatial transcriptomic data. Jin S; Ramos R Biochem Soc Trans; 2022 Feb; 50(1):297-308. PubMed ID: 35191953 [TBL] [Abstract][Full Text] [Related]
10. Spatial transcriptomics tools allow for regional exploration of heterogeneous muscle pathology in the pre-clinical rabbit model of rotator cuff tear. Ruoss S; Esparza MC; Vasquez-Bolanos LS; Nasamran CA; Fisch KM; Engler AJ; Ward SR J Orthop Surg Res; 2022 Oct; 17(1):440. PubMed ID: 36195913 [TBL] [Abstract][Full Text] [Related]
11. Computational solutions for spatial transcriptomics. Kleino I; Frolovaitė P; Suomi T; Elo LL Comput Struct Biotechnol J; 2022; 20():4870-4884. PubMed ID: 36147664 [TBL] [Abstract][Full Text] [Related]
12. Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity. Fatemi MY; Lu Y; Sharma C; Feng E; Azher ZL; Diallo AB; Srinivasan G; Rosner GM; Pointer KB; Christensen BC; Salas LA; Tsongalis GJ; Palisoul SM; Perreard L; Kolling FW; Vaickus LJ; Levy JJ medRxiv; 2023 Oct; ():. PubMed ID: 37873186 [TBL] [Abstract][Full Text] [Related]
13. STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering. Peng L; He X; Peng X; Li Z; Zhang L Comput Biol Med; 2023 Nov; 166():107440. PubMed ID: 37738898 [TBL] [Abstract][Full Text] [Related]
14. SPASCER: spatial transcriptomics annotation at single-cell resolution. Fan Z; Luo Y; Lu H; Wang T; Feng Y; Zhao W; Kim P; Zhou X Nucleic Acids Res; 2023 Jan; 51(D1):D1138-D1149. PubMed ID: 36243975 [TBL] [Abstract][Full Text] [Related]
15. Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis. Rana A; Lowe A; Lithgow M; Horback K; Janovitz T; Da Silva A; Tsai H; Shanmugam V; Bayat A; Shah P JAMA Netw Open; 2020 May; 3(5):e205111. PubMed ID: 32432709 [TBL] [Abstract][Full Text] [Related]
16. Reliable Gene Expression Profiling from Small and Hematoxylin and Eosin-Stained Clinical Formalin-Fixed, Paraffin-Embedded Specimens Using the HTG EdgeSeq Platform. Qi Z; Wang L; Desai K; Cogswell J; Stern M; Lawson B; Kerkar SP; Vitazka P J Mol Diagn; 2019 Sep; 21(5):796-807. PubMed ID: 31255795 [TBL] [Abstract][Full Text] [Related]
17. Multi-institutional comparison of whole slide digital imaging and optical microscopy for interpretation of hematoxylin-eosin-stained breast tissue sections. Krishnamurthy S; Mathews K; McClure S; Murray M; Gilcrease M; Albarracin C; Spinosa J; Chang B; Ho J; Holt J; Cohen A; Giri D; Garg K; Bassett RL; Liang K Arch Pathol Lab Med; 2013 Dec; 137(12):1733-9. PubMed ID: 23947655 [TBL] [Abstract][Full Text] [Related]
18. Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks. Zeng Y; Wei Z; Yu W; Yin R; Yuan Y; Li B; Tang Z; Lu Y; Yang Y Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35849101 [TBL] [Abstract][Full Text] [Related]
19. Transcriptome analysis of ultraviolet A-induced photoaging cells with deep sequencing. Zheng Y; Xu Q; Chen H; Chen Q; Gong Z; Lai W J Dermatol; 2018 Feb; 45(2):175-181. PubMed ID: 29250823 [TBL] [Abstract][Full Text] [Related]
20. scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data. Zhai Y; Chen L; Deng M Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38678389 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]