Research map: Prediction of single cell expression from low-plex immunofluorescence images for guiding precision oncology
Back to the article
Papers in this map
Identity Mappings in Deep Residual Networks
· Kaiming He · 2016 · 10226 citations · Cited by this paper
Aurora kinase A is a synthetic lethal target in FANCA-deficient cancers
· 2026 · Related
SCANPY: large-scale single-cell gene expression data analysis
· F. Alexander Wolf · 2018 · 9933 citations · Cited by this paper
Anaplastic thyroid cancer: review of precision therapy options and advances
· 2026 · Related
QuPath: Open source software for digital pathology image analysis
· Peter Bankhead · 2017 · 9171 citations · Cited by this paper
Integrated prediction of lung cancer histology and molecular profiles from small bronchoscopic tumor specimens
· 2026 · Related
Molecular signatures database (MSigDB) 3.0
· Arthur Liberzon · 2011 · 7984 citations · Cited by this paper
Comprehensive multi-omic dissection and AI-prioritized target identification in inverted papilloma–associated sinonasal squamous cell carcinoma
· 2026 · Related
KEGG: biological systems database as a model of the real world
· Minoru I. Kanehisa · 2024 · 2543 citations · Cited by this paper
snRNA-seq of acral melanoma reveals heterogeneity and identifies novel progression marker and cancer-associated fibroblasts subpopulation
· 2026 · Related
The Reactome Pathway Knowledgebase 2024
· Marija Orlic-Milacic · 2023 · 1535 citations · Cited by this paper
Single-cell ploidy analysis reveals polyploidy effects on tumor aggressiveness and immune suppression in intrahepatic cholangiocarcinoma
· 2026 · Related
Towards a general-purpose foundation model for computational pathology
· Richard J. Chen · 2024 · 1473 citations · Cited by this paper
Discordance in molecular classification of primary and metastatic endometrial cancer: implications for precision treatment
· 2026 · Related
DeepGCNs: Can GCNs Go As Deep As CNNs?
· Guohao Li · 2019 · 1379 citations · Cited by this paper
Patient cell drug profiling identifies p53-linked vulnerabilities in refractory lymphoid malignancies
· 2026 · Related
Super-convergence: very fast training of neural networks using large learning rates
· Leslie N. Smith · 2019 · 1358 citations · Cited by this paper
Deep learning-based segmentation and subtype prediction of renal cell carcinoma on contrast-enhanced CT
· 2026 · Related
CellMarker 2.0: an updated database of manually curated cell markers in human/mouse and web tools based on scRNA-seq data
· Congxue Hu · 2022 · 1349 citations · Cited by this paper
Prognostic impact of somatic mutations among patients with pleural and peritoneal mesothelioma
· 2026 · Related
Perturbation-response genes reveal signaling footprints in cancer gene expression
· Michaël Schubert · 2017 · 1223 citations · Cited by this paper
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
· Jian Hu · 2021 · 1223 citations · Cited by this paper
Squidpy: a scalable framework for spatial omics analysis
· Giovanni Palla · 2022 · 1221 citations · Cited by this paper
Multiplex digital spatial profiling of proteins and RNA in fixed tissue
· Christopher R. B. Merritt · 2020 · 1134 citations · Cited by this paper
decoupleR: ensemble of computational methods to infer biological activities from omics data
· Pau Badia-i-Mompel · 2022 · 1125 citations · Cited by this paper
Enhancing immunotherapy in cancer by targeting emerging immunomodulatory pathways
· Lukas Kraehenbuehl · 2021 · 905 citations · Cited by this paper
A whole-slide foundation model for digital pathology from real-world data
· Hanwen Xu · 2024 · 870 citations · Cited by this paper
Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes
· Jia‐Ren Lin · 2018 · 781 citations · Cited by this paper
Advances in cancer immunotherapy 2019 – latest trends
· Stephan Krüger · 2019 · 594 citations · Cited by this paper
A deep learning model to predict RNA-Seq expression of tumours from whole slide images
· Benoît Schmauch · 2020 · 561 citations · Cited by this paper
Integrating spatial gene expression and breast tumour morphology via deep learning
· Bryan D. He · 2020 · 552 citations · Cited by this paper
Tumor microenvironment: barrier or opportunity towards effective cancer therapy
· Aadhya Tiwari · 2022 · 393 citations · Cited by this paper
MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging
· Denis Schapiro · 2021 · 259 citations · Cited by this paper
Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma
· Darci J. Phillips · 2021 · 234 citations · Cited by this paper
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology
· Daiwei Zhang · 2024 · 221 citations · Cited by this paper
Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens
· Zhenqin Wu · 2022 · 156 citations · Cited by this paper
Origin and function of tumor stroma fibroblasts
· Georgia Xouri · 2009 · 113 citations · Cited by this paper
Efficient prediction of a spatial transcriptomics profile better characterizes breast cancer tissue sections without costly experimentation
· Taku Monjo · 2022 · 111 citations · Cited by this paper
Benchmarking the translational potential of spatial gene expression prediction from histology
· Chuhan Wang · 2025 · 54 citations · Cited by this paper
Source: OpenAlex (CC0)