On the public citation graph
AGP-Net: A Universal Network for Gene Expression Prediction of Spatial Transcriptomics
0 signed · 41 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-031-43993-3_51openalex-snapshot
PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents
inferredcites →https://doi.org/10.1007/978-3-031-72083-3_46openalex-snapshot
Spatial Transcriptomics Analysis of Zero-Shot Gene Expression Prediction
inferredcites →https://doi.org/10.1016/j.cell.2020.05.039openalex-snapshot
Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma
inferredcites →https://doi.org/10.1016/j.cmpb.2020.105637openalex-snapshot
Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection
inferredcites →https://doi.org/10.1016/j.crmeth.2022.100340openalex-snapshot
Assessment of spatial transcriptomics for oncology discovery
inferredcites →https://doi.org/10.1016/j.csbj.2023.01.016openalex-snapshot
A guidebook of spatial transcriptomic technologies, data resources and analysis approaches
inferredcites →https://doi.org/10.1016/j.immuni.2024.04.022openalex-snapshot
Metabolic coordination between skin epithelium and type 17 immunity sustains chronic skin inflammation
inferredcites →https://doi.org/10.1016/j.labinv.2023.100258openalex-snapshot
Spatial Transcriptomics Reveal Pitfalls and Opportunities for the Detection of Rare High-Plasticity Breast Cancer Subtypes
inferredcites →https://doi.org/10.1016/j.media.2019.05.010openalex-snapshot
BACH: Grand challenge on breast cancer histology images
inferredcites →https://doi.org/10.1016/j.patcog.2023.109966openalex-snapshot
Spatial transcriptomics analysis of gene expression prediction using exemplar guided graph neural network
inferredcites →https://doi.org/10.1038/nbt.3192openalex-snapshot
Spatial reconstruction of single-cell gene expression data
inferredcites →https://doi.org/10.1038/ng.2764openalex-snapshot
The Cancer Genome Atlas Pan-Cancer analysis project
inferredcites →https://doi.org/10.1038/s41368-021-00146-0openalex-snapshot
From bulk, single-cell to spatial RNA sequencing
inferredcites →https://doi.org/10.1038/s41467-021-26271-2openalex-snapshot
Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions
inferredcites →https://doi.org/10.1038/s41540-024-00462-1openalex-snapshot
Microarray integrated spatial transcriptomics (MIST) for affordable and robust digital pathology
inferredcites →https://doi.org/10.1038/s41551-020-0578-xopenalex-snapshot
Integrating spatial gene expression and breast tumour morphology via deep learning
inferredcites →https://doi.org/10.1038/s41586-022-05023-2openalex-snapshot
Spatially resolved clonal copy number alterations in benign and malignant tissue
inferredcites →https://doi.org/10.1038/s41586-022-05060-xopenalex-snapshot
Spatial multi-omic map of human myocardial infarction
inferredcites →https://doi.org/10.1038/s41587-023-02019-9openalex-snapshot
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology
inferredcites →https://doi.org/10.1038/s41591-023-02504-3openalex-snapshot
A visual–language foundation model for pathology image analysis using medical Twitter
inferredcites →https://doi.org/10.1038/s41591-024-02856-4openalex-snapshot
A visual-language foundation model for computational pathology
inferredcites →https://doi.org/10.1038/s41592-020-01033-yopenalex-snapshot
Method of the Year: spatially resolved transcriptomics
inferredcites →https://doi.org/10.1038/s41592-022-01409-2openalex-snapshot
Museum of spatial transcriptomics
inferredcites →https://doi.org/10.1038/s41593-020-00787-0openalex-snapshot
Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex
inferredcites →https://doi.org/10.1038/s41597-024-03944-3openalex-snapshot
LungHist700: A dataset of histological images for deep learning in pulmonary pathology
inferredcites →https://doi.org/10.1109/cvpr52733.2024.01101openalex-snapshot
Accurate Spatial Gene Expression Prediction by Integrating Multi-Resolution Features
inferredcites →https://doi.org/10.1109/smc.2017.8122889openalex-snapshot
Deep features for breast cancer histopathological image classification
inferredcites →https://doi.org/10.1109/wacv56688.2023.00501openalex-snapshot
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction
inferredcites →https://doi.org/10.1111/all.15781openalex-snapshot
Spatial transcriptomics combined with single‐cell RNA ‐sequencing unravels the complex inflammatory cell network in atopic dermatitis
inferredcites →https://doi.org/10.1111/j.1365-2559.2011.04003.xopenalex-snapshot
Gleason grading: past, present and future
inferredcites →https://doi.org/10.1126/sciadv.adm7098openalex-snapshot
Identification of an anaplastic subtype of prostate cancer amenable to therapies targeting SP1 or translation elongation
inferredcites →https://doi.org/10.1136/gutjnl-2023-330577openalex-snapshot
Spatial transcriptomics reveals a low extent of transcriptionally active hepatitis B virus integration in patients with HBsAg loss
inferredcites →https://doi.org/10.1158/2159-8290.cd-22-1200openalex-snapshot
Spatial Transcriptomics of Intraductal Papillary Mucinous Neoplasms of the Pancreas Identifies NKX6-2 as a Driver of Gastric Differentiation and Indolent Biological Potential
inferredcites →https://doi.org/10.1158/2326-6066.cir-22-0462openalex-snapshot
High-Resolution Analysis of Mononuclear Phagocytes Reveals GPNMB as a Prognostic Marker in Human Colorectal Liver Metastasis
inferredcites →https://doi.org/10.3389/fonc.2022.1022967openalex-snapshot
Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.48550/arxiv.2103.00020openalex-snapshot
Learning Transferable Visual Models From Natural Language Supervision
inferredcites →https://doi.org/10.48550/arxiv.2204.06455openalex-snapshot
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
inferredcites →https://doi.org/10.48550/arxiv.2306.11207openalex-snapshot
Quilt-1M: One Million Image-Text Pairs for Histopathology
inferredcites →https://doi.org/10.5281/zenodo.1214455openalex-snapshot
100,000 Histological Images Of Human Colorectal Cancer And Healthy Tissue
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.