Cover Image

Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Yu-An, Li, Yue-Chao, You, Hai-Ru, Pan, Jie, Cao, Xiyue, Li, Xinyuan, Huang, Zhi-An, You, Zhu-Hong
Format:	Preprint
Published:	2025
Subjects:	Genomics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation
by: Li, Cong, et al.
Published: (2024)

scX: A user-friendly tool for scRNA-seq exploration
by: Waichman, Tomás Vega, et al.
Published: (2023)

scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling
by: Huang, Yu-An, et al.
Published: (2025)

Partial domain adaptation enables cross domain cell type annotation between scRNA-seq and snRNA-seq
by: Chen, Xiran, et al.
Published: (2025)

scReader: Prompting Large Language Models to Interpret scRNA-seq Data
by: Li, Cong, et al.
Published: (2024)

A Hybrid Computational Intelligence Framework for scRNA-seq Imputation: Integrating scRecover and Random Forests
by: Anaissi, Ali, et al.
Published: (2025)

Bipartite Graph Attention-based Clustering for Large-scale scRNA-seq Data
by: Liang, Zhuomin, et al.
Published: (2026)

Mix-Geneformer: Unified Representation Learning for Human and Mouse scRNA-seq Data
by: Nishio, Yuki, et al.
Published: (2025)

Simultaneously Infer Cell Pseudotime,Velocity Field and Gene Interaction from Multi-Branch scRNA-seq Data with scPN
by: Zhou, Zhen, et al.
Published: (2024)

Modeling Temporal scRNA-seq Data with Latent Gaussian Process and Optimal Transport
by: Balik, Mehmet Yigit, et al.
Published: (2026)

Meta-analysis of scRNA-seq data for choroidal endothelial cells in dry Age-related Macular Degeneration
by: Veksler, Kyle M., et al.
Published: (2026)

SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq
by: Li, Xiaoyu, et al.
Published: (2024)

Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks
by: He, Wan, et al.
Published: (2025)

Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks
by: Kim, Jong Hyun, et al.
Published: (2024)

Global Ground Metric Learning with Applications to scRNA data
by: Kühn, Damin, et al.
Published: (2025)

Diversity by Design: Addressing Mode Collapse Improves scRNA-seq Perturbation Modeling on Well-Calibrated Metrics
by: Mejia, Gabriel M., et al.
Published: (2025)

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations
by: Bini, Lorenzo, et al.
Published: (2025)

scBench: Evaluating AI Agents on Single-Cell RNA-seq Analysis
by: Workman, Kenny, et al.
Published: (2026)

scRDiT: Generating single-cell RNA-seq data by diffusion transformers and accelerating sampling
by: Dong, Shengze, et al.
Published: (2024)

scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding
by: Xu, Ping, et al.
Published: (2024)

scUnified: An AI-Ready Standardized Resource for Single-Cell RNA Sequencing Analysis
by: Xu, Ping, et al.
Published: (2025)

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data
by: Min, Wenwen, et al.
Published: (2024)

Timestamp calibration for time-series single cell RNA-seq expression data
by: Chen, Xiran, et al.
Published: (2024)

scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing
by: Xu, Ping, et al.
Published: (2025)

HybridQC: Machine Learning-Augmented Quality Control for Single-Cell RNA-seq Data
by: Lai, Kaitao
Published: (2025)

ltirloni/Ixsc-scRNA-seq: Ixsc-scRNA-seq
by: Lucas Tirloni
Published: (2026)

scRNA-seq of preeclamptic trophoblasts identifies EBI3, COL17A1, miR-27a-5p, and miR-193b-5p as hypoxia markers: validation of neuradapt as a superior mimetic to cobalt chloride
by: Knyazev, Evgeny, et al.
Published: (2025)

Objectively Evaluating the Reliability of Cell Type Annotation Using LLM-Based Strategies
by: Ye, Wenjin, et al.
Published: (2024)

Categorization and analysis of 14 computational methods for estimating cell potency from single-cell RNA-seq data
by: Wang, Qingyang, et al.
Published: (2023)

Single‐Cell RNA‐seq Reveals Deubiquitination Genes as Prognostic Markers in Hepatocellular Carcinoma
by: Xuening Lv, et al.
Published: (2026)

GRIT: Graph-Regularized Logit Refinement for Zero-shot Cell Type Annotation
by: Hu, Tianxiang, et al.
Published: (2025)

scVGAE: A Novel Approach using ZINB-Based Variational Graph Autoencoder for Single-Cell RNA-Seq Imputation
by: Inoue, Yoshitaka
Published: (2024)

Online t-SNE for single-cell RNA-seq
by: Ma, Hui, et al.
Published: (2024)

Predicting Breast Cancer Phenotypes from Single-cell RNA-seq Data Using CloudPred
by: Moghimianavval, Hossein, et al.
Published: (2024)

White-Box Diffusion Transformer for single-cell RNA-seq generation
by: Cui, Zhuorui, et al.
Published: (2024)

Discovering Interpretable Biological Concepts in Single-cell RNA-seq Foundation Models
by: Claye, Charlotte, et al.
Published: (2025)

scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders
by: Oh, Gyutaek, et al.
Published: (2025)

SiCmiR Atlas: Single-Cell miRNA Landscapes Reveals Hub-miRNA and Network Signatures in Human Cancers
by: Cai, Xiao-Xuan, et al.
Published: (2025)

scRNA-seq and bulk RNA-seq of PBMC
by: Ludwig-Maximilians-Universität München
Published: (2025)

scShapeBench: Discovering geometry from high dimensional scRNAseq data
by: Steindl, Andrew J, et al.
Published: (2026)