Simultaneously Infer Cell Pseudotime,Velocity Field and Gene Interaction from Multi-Branch scRNA-seq Data with scPN
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Zhen, Li, Jiachen, Xin, Hongyi, Pan, Xiaoyong, Shen, Hong-Bin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks
by: He, Wan, et al.
Published: (2025)
by: He, Wan, 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)
by: Mejia, Gabriel M., et al.
Published: (2025)
scX: A user-friendly tool for scRNA-seq exploration
by: Waichman, Tomás Vega, et al.
Published: (2023)
by: Waichman, Tomás Vega, et al.
Published: (2023)
scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation
by: Li, Cong, et al.
Published: (2024)
by: Li, Cong, et al.
Published: (2024)
scReader: Prompting Large Language Models to Interpret scRNA-seq Data
by: Li, Cong, et al.
Published: (2024)
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)
by: Anaissi, Ali, et al.
Published: (2025)
Mix-Geneformer: Unified Representation Learning for Human and Mouse scRNA-seq Data
by: Nishio, Yuki, et al.
Published: (2025)
by: Nishio, Yuki, et al.
Published: (2025)
Trajectory Inference for Single Cell Omics
by: Hutton, Alexandre, et al.
Published: (2025)
by: Hutton, Alexandre, et al.
Published: (2025)
SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq
by: Li, Xiaoyu, et al.
Published: (2024)
by: Li, Xiaoyu, et al.
Published: (2024)
Partial domain adaptation enables cross domain cell type annotation between scRNA-seq and snRNA-seq
by: Chen, Xiran, et al.
Published: (2025)
by: Chen, Xiran, et al.
Published: (2025)
Modeling Temporal scRNA-seq Data with Latent Gaussian Process and Optimal Transport
by: Balik, Mehmet Yigit, et al.
Published: (2026)
by: Balik, Mehmet Yigit, et al.
Published: (2026)
Bipartite Graph Attention-based Clustering for Large-scale scRNA-seq Data
by: Liang, Zhuomin, et al.
Published: (2026)
by: Liang, Zhuomin, 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)
by: Veksler, Kyle M., et al.
Published: (2026)
A network-driven framework for enhancing gene-disease association studies in coronary artery disease
by: Mohammad, Gutama Ibrahim, et al.
Published: (2025)
by: Mohammad, Gutama Ibrahim, et al.
Published: (2025)
Predicting the genetic component of gene expression using gene regulatory networks
by: Mohammad, Gutama Ibrahim, et al.
Published: (2024)
by: Mohammad, Gutama Ibrahim, et al.
Published: (2024)
Donor-Aware scRNA-seq Benchmarks for IBD Classification
by: Muhire, Jonathan
Published: (2026)
by: Muhire, Jonathan
Published: (2026)
Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data
by: Huang, Yu-An, et al.
Published: (2025)
by: Huang, Yu-An, et al.
Published: (2025)
Global Ground Metric Learning with Applications to scRNA data
by: Kühn, Damin, et al.
Published: (2025)
by: Kühn, Damin, et al.
Published: (2025)
scBench: Evaluating AI Agents on Single-Cell RNA-seq Analysis
by: Workman, Kenny, et al.
Published: (2026)
by: Workman, Kenny, et al.
Published: (2026)
scDiffusion: conditional generation of high-quality single-cell data using diffusion model
by: Luo, Erpai, et al.
Published: (2024)
by: Luo, Erpai, et al.
Published: (2024)
Informational blueprints reveal condition-dependent gene regulatory architectures
by: Gökmen, Doruk Efe, et al.
Published: (2026)
by: Gökmen, Doruk Efe, et al.
Published: (2026)
scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration
by: Sun, Jianle, et al.
Published: (2025)
by: Sun, Jianle, 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)
by: Kim, Jong Hyun, et al.
Published: (2024)
A Novel Graph Transformer Framework for Gene Regulatory Network Inference
by: Teji, Binon, et al.
Published: (2025)
by: Teji, Binon, et al.
Published: (2025)
Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-seq Data Analysis
by: Zhang, Zhenyi, et al.
Published: (2025)
by: Zhang, Zhenyi, 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)
by: Bini, Lorenzo, et al.
Published: (2025)
Integrative analysis of ATAC-seq and RNA-seq for cells infected by human T-cell leukemia virus type 1
by: Tanaka, Azusa, et al.
Published: (2023)
by: Tanaka, Azusa, et al.
Published: (2023)
scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data
by: Min, Wenwen, et al.
Published: (2024)
by: Min, Wenwen, et al.
Published: (2024)
Quantum Generative Modeling of Single-Cell transcriptomes: Capturing Gene-Gene and Cell-Cell Interactions
by: Romero, Selim, et al.
Published: (2025)
by: Romero, Selim, et al.
Published: (2025)
ltirloni/Ixsc-scRNA-seq: Ixsc-scRNA-seq
by: Lucas Tirloni
Published: (2026)
by: Lucas Tirloni
Published: (2026)
Learning collective multi-cellular dynamics from temporal scRNA-seq via a transformer-enhanced Neural SDE
by: Jiang, Qi, et al.
Published: (2025)
by: Jiang, Qi, et al.
Published: (2025)
scRDiT: Generating single-cell RNA-seq data by diffusion transformers and accelerating sampling
by: Dong, Shengze, et al.
Published: (2024)
by: Dong, Shengze, et al.
Published: (2024)
scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling
by: Huang, Yu-An, et al.
Published: (2025)
by: Huang, Yu-An, et al.
Published: (2025)
DNA Language Model and Interpretable Graph Neural Network Identify Genes and Pathways Involved in Rare Diseases
by: Saadat, Ali, et al.
Published: (2024)
by: Saadat, Ali, et al.
Published: (2024)
StateXDiff: Cell State-Contextualized Multimodal Diffusion for Single-Cell Perturbation Prediction
by: Shi, Peiting, et al.
Published: (2026)
by: Shi, Peiting, et al.
Published: (2026)
Joint graphical model estimation using Stein-type shrinkage for fast large scale network inference in scRNAseq data
by: Vo, Duong H. T., et al.
Published: (2025)
by: Vo, Duong H. T., et al.
Published: (2025)
Single-Cell Proteomics Using Mass Spectrometry
by: Momenzadeh, Amanda, et al.
Published: (2025)
by: Momenzadeh, Amanda, et al.
Published: (2025)
A Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell RNA-Seq Data
by: Ahn, Seungjun, et al.
Published: (2025)
by: Ahn, Seungjun, et al.
Published: (2025)
Phospho-Proteomics Method Optimization and Application to Stimulated Jurkat Cells
by: Ndungu, Teresia, et al.
Published: (2025)
by: Ndungu, Teresia, et al.
Published: (2025)
Objectively Evaluating the Reliability of Cell Type Annotation Using LLM-Based Strategies
by: Ye, Wenjin, et al.
Published: (2024)
by: Ye, Wenjin, et al.
Published: (2024)
Similar Items
-
Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks
by: He, Wan, 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) -
scX: A user-friendly tool for scRNA-seq exploration
by: Waichman, Tomás Vega, et al.
Published: (2023) -
scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation
by: Li, Cong, et al.
Published: (2024) -
scReader: Prompting Large Language Models to Interpret scRNA-seq Data
by: Li, Cong, et al.
Published: (2024)