scPPDM: A Diffusion Model for Single-Cell Drug-Response Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Zhaokang, Zhuang, Shuyang, Jiao, Xiaoran, Mao, Weian, Chen, Hao, Shen, Chunhua |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evolutionary Profiles for Protein Fitness Prediction
by: Fan, Jigang, et al.
Published: (2025)
by: Fan, Jigang, et al.
Published: (2025)
scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
by: Wang, Qing, et al.
Published: (2025)
by: Wang, Qing, et al.
Published: (2025)
scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
by: Ovcharenko, Olga, et al.
Published: (2025)
by: Ovcharenko, Olga, et al.
Published: (2025)
Integrating Single-Cell Foundation Models with Graph Neural Networks for Drug Response Prediction
by: Rossner, Till, et al.
Published: (2025)
by: Rossner, Till, et al.
Published: (2025)
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
by: Cheng, Jiabei, et al.
Published: (2025)
by: Cheng, Jiabei, et al.
Published: (2025)
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)
scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
by: Yu, Chenglei, et al.
Published: (2026)
by: Yu, Chenglei, et al.
Published: (2026)
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
by: Xu, Bohao, et al.
Published: (2024)
by: Xu, Bohao, et al.
Published: (2024)
scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis
by: Huang, Yu-An, et al.
Published: (2025)
by: Huang, Yu-An, et al.
Published: (2025)
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
by: Hu, Bing, et al.
Published: (2024)
by: Hu, Bing, et al.
Published: (2024)
MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials
by: Shao, Qian, et al.
Published: (2025)
by: Shao, Qian, et al.
Published: (2025)
MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning
by: Zhuang, Yuanxin, et al.
Published: (2025)
by: Zhuang, Yuanxin, et al.
Published: (2025)
Donor-Aware scRNA-seq Benchmarks for IBD Classification
by: Muhire, Jonathan
Published: (2026)
by: Muhire, Jonathan
Published: (2026)
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction
by: Maleki, Sepideh, et al.
Published: (2024)
by: Maleki, Sepideh, et al.
Published: (2024)
MGKAN: Predicting Asymmetric Drug-Drug Interactions via a Multimodal Graph Kolmogorov-Arnold Network
by: Fan, Kunyi, et al.
Published: (2026)
by: Fan, Kunyi, et al.
Published: (2026)
Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges
by: Chi, Changxi, et al.
Published: (2025)
by: Chi, Changxi, et al.
Published: (2025)
SynCell: Contextualized Drug Synergy Prediction
by: Peng, Keqin, et al.
Published: (2025)
by: Peng, Keqin, et al.
Published: (2025)
Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
by: Vefghi, Ali, et al.
Published: (2025)
by: Vefghi, Ali, et al.
Published: (2025)
Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
by: Lee, Franklin, et al.
Published: (2025)
by: Lee, Franklin, et al.
Published: (2025)
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)
TEDDY: A Family Of Foundation Models For Understanding Single Cell Biology
by: Chevalier, Alexis, et al.
Published: (2025)
by: Chevalier, Alexis, et al.
Published: (2025)
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
by: Hu, Bing, et al.
Published: (2024)
by: Hu, Bing, et al.
Published: (2024)
Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery
by: Cropsal, Télio, et al.
Published: (2025)
by: Cropsal, Télio, et al.
Published: (2025)
drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
by: Inoue, Yoshitaka, et al.
Published: (2024)
by: Inoue, Yoshitaka, et al.
Published: (2024)
Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-seq Data Analysis
by: Zhang, Zhenyi, et al.
Published: (2025)
by: Zhang, Zhenyi, et al.
Published: (2025)
PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
by: Bal, Rakesh, et al.
Published: (2023)
by: Bal, Rakesh, et al.
Published: (2023)
Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
by: Beaudoin, Collin, et al.
Published: (2023)
by: Beaudoin, Collin, et al.
Published: (2023)
A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction
by: Song, Yuehua, et al.
Published: (2025)
by: Song, Yuehua, et al.
Published: (2025)
Advancing Drug Development Through Strategic Cell Line and Compound Selection Using Drug Response Profiles
by: Abdel-Rehim, Abbi, et al.
Published: (2025)
by: Abdel-Rehim, Abbi, et al.
Published: (2025)
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)
Simultaneously Infer Cell Pseudotime,Velocity Field and Gene Interaction from Multi-Branch scRNA-seq Data with scPN
by: Zhou, Zhen, et al.
Published: (2024)
by: Zhou, Zhen, et al.
Published: (2024)
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction
by: Guo, Jinjiang
Published: (2026)
by: Guo, Jinjiang
Published: (2026)
HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
by: Liu, Bin, et al.
Published: (2024)
by: Liu, Bin, et al.
Published: (2024)
Virtual Cells: Predict, Explain, Discover
by: Noutahi, Emmanuel, et al.
Published: (2025)
by: Noutahi, Emmanuel, et al.
Published: (2025)
Multitask Multimodal Fusion with Tabular Foundation Models for Peak and Durability Prediction of Pertussis Booster Response
by: Sitani, Divya
Published: (2026)
by: Sitani, Divya
Published: (2026)
Recovering Time-Varying Networks From Single-Cell Data
by: Hasanaj, Euxhen, et al.
Published: (2024)
by: Hasanaj, Euxhen, et al.
Published: (2024)
DPASyn: Mechanism-Aware Drug Synergy Prediction via Dual Attention and Precision-Aware Quantization
by: Nie, Yuxuan, et al.
Published: (2025)
by: Nie, Yuxuan, et al.
Published: (2025)
Drug Resistance Predictions Based on a Directed Flag Transformer
by: Chen, Dong, et al.
Published: (2024)
by: Chen, Dong, et al.
Published: (2024)
Recent Developments in GNNs for Drug Discovery
by: Fang, Zhengyu, et al.
Published: (2025)
by: Fang, Zhengyu, et al.
Published: (2025)
LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
by: De Vito, Gabriele, et al.
Published: (2025)
by: De Vito, Gabriele, et al.
Published: (2025)
Similar Items
-
Evolutionary Profiles for Protein Fitness Prediction
by: Fan, Jigang, et al.
Published: (2025) -
scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
by: Wang, Qing, et al.
Published: (2025) -
scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
by: Ovcharenko, Olga, et al.
Published: (2025) -
Integrating Single-Cell Foundation Models with Graph Neural Networks for Drug Response Prediction
by: Rossner, Till, et al.
Published: (2025) -
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
by: Cheng, Jiabei, et al.
Published: (2025)