Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
Fuente:
arXiv
Saved in:
| Main Authors: | Bereket, Michael, Karaletsos, Theofanis |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Compositional Deep Probabilistic Models of DNA Encoded Libraries
by: Chen, Benson, et al.
Published: (2023)
by: Chen, Benson, et al.
Published: (2023)
Property-Isometric Variational Autoencoders for Sequence Modeling and Design
by: Sadeghi, Elham, et al.
Published: (2025)
by: Sadeghi, Elham, et al.
Published: (2025)
InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
by: Simon, Elana, et al.
Published: (2024)
by: Simon, Elana, et al.
Published: (2024)
AROMA: Augmented Reasoning Over a Multimodal Architecture for Virtual Cell Genetic Perturbation Modeling
by: Wang, Zhenyu, et al.
Published: (2026)
by: Wang, Zhenyu, et al.
Published: (2026)
MorphGen: Controllable and Morphologically Plausible Generative Cell-Imaging
by: Demirel, Berker, et al.
Published: (2025)
by: Demirel, Berker, et al.
Published: (2025)
Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture
by: Comlekoglu, Tien, et al.
Published: (2025)
by: Comlekoglu, Tien, et al.
Published: (2025)
Sample-Efficient Adaptation of Drug-Response Models to Patient Tumors under Strong Biological Domain Shift
by: Cortes, Camille Jimenez, et al.
Published: (2026)
by: Cortes, Camille Jimenez, et al.
Published: (2026)
Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration
by: Swift, Iain, et al.
Published: (2026)
by: Swift, Iain, et al.
Published: (2026)
Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials
by: Zheng, Yizhen, et al.
Published: (2024)
by: Zheng, Yizhen, et al.
Published: (2024)
CRADLE-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
by: Baek, Seungheun, et al.
Published: (2024)
by: Baek, Seungheun, et al.
Published: (2024)
VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism
by: Wu, Jiawei, et al.
Published: (2024)
by: Wu, Jiawei, et al.
Published: (2024)
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
by: Chi, Changxi, et al.
Published: (2025)
by: Chi, Changxi, et al.
Published: (2025)
Deep Reinforcement Learning for Controlled Traversing of the Attractor Landscape of Boolean Models in the Context of Cellular Reprogramming
by: Mizera, Andrzej, et al.
Published: (2024)
by: Mizera, Andrzej, et al.
Published: (2024)
From Detection to Mechanism: Cross-Attention Graph Neural Networks Enable Drug-Drug Interaction Type Prediction An Ablation Study with Acetylsalicylic Acid Validation
by: Dietrich, Juergen
Published: (2026)
by: Dietrich, Juergen
Published: (2026)
MolTC: Towards Molecular Relational Modeling In Language Models
by: Fang, Junfeng, et al.
Published: (2024)
by: Fang, Junfeng, et al.
Published: (2024)
Hyperbolic Graph Diffusion Model
by: Wen, Lingfeng, et al.
Published: (2023)
by: Wen, Lingfeng, et al.
Published: (2023)
Quotient-Space Diffusion Models
by: Xu, Yixian, et al.
Published: (2026)
by: Xu, Yixian, et al.
Published: (2026)
Causal Cellular Context Transfer Learning (C3TL): An Efficient Architecture for Prediction of Unseen Perturbation Effects
by: Scholkemper, Michael, et al.
Published: (2026)
by: Scholkemper, Michael, et al.
Published: (2026)
Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification
by: Menon, Niranjana Arun, et al.
Published: (2025)
by: Menon, Niranjana Arun, et al.
Published: (2025)
An Evaluation of Large Language Models in Bioinformatics Research
by: Yin, Hengchuang, et al.
Published: (2024)
by: Yin, Hengchuang, et al.
Published: (2024)
Training Compute-Optimal Protein Language Models
by: Cheng, Xingyi, et al.
Published: (2024)
by: Cheng, Xingyi, et al.
Published: (2024)
Integrating Genomics into Multimodal EHR Foundation Models
by: Amar, Jonathan, et al.
Published: (2025)
by: Amar, Jonathan, et al.
Published: (2025)
Feedback Efficient Online Fine-Tuning of Diffusion Models
by: Uehara, Masatoshi, et al.
Published: (2024)
by: Uehara, Masatoshi, et al.
Published: (2024)
Latent Diffusion Models for Controllable RNA Sequence Generation
by: Huang, Kaixuan, et al.
Published: (2024)
by: Huang, Kaixuan, et al.
Published: (2024)
Elucidating the Design Space of Multimodal Protein Language Models
by: Hsieh, Cheng-Yen, et al.
Published: (2025)
by: Hsieh, Cheng-Yen, et al.
Published: (2025)
Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling
by: Wu, Fang, et al.
Published: (2026)
by: Wu, Fang, et al.
Published: (2026)
Informing Acquisition Functions via Foundation Models for Molecular Discovery
by: Chen, Qi, et al.
Published: (2025)
by: Chen, Qi, et al.
Published: (2025)
Prospector Heads: Generalized Feature Attribution for Large Models & Data
by: Machiraju, Gautam, et al.
Published: (2024)
by: Machiraju, Gautam, et al.
Published: (2024)
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
by: Liu, Xuefeng, et al.
Published: (2024)
by: Liu, Xuefeng, et al.
Published: (2024)
Pretraining a Foundation Model for Small-Molecule Natural Products
by: Ding, Yuheng, et al.
Published: (2025)
by: Ding, Yuheng, et al.
Published: (2025)
Large Language Model is Secretly a Protein Sequence Optimizer
by: Wang, Yinkai, et al.
Published: (2025)
by: Wang, Yinkai, et al.
Published: (2025)
Machine-Learning-Enhanced Non-Invasive Testing for MASLD Fibrosis: Shallow-Deep Neural Networks Versus FIB-4, Tabular Foundation Models, and Large Language Models
by: Angelakis, Athanasios, et al.
Published: (2026)
by: Angelakis, Athanasios, et al.
Published: (2026)
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
by: Zeinalipour, Kamyar, et al.
Published: (2024)
by: Zeinalipour, Kamyar, et al.
Published: (2024)
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
by: Fang, Yi, et al.
Published: (2025)
by: Fang, Yi, et al.
Published: (2025)
CaLMFlow: Volterra Flow Matching using Causal Language Models
by: He, Sizhuang, et al.
Published: (2024)
by: He, Sizhuang, et al.
Published: (2024)
The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models
by: Cattaneo, Alberto, et al.
Published: (2024)
by: Cattaneo, Alberto, et al.
Published: (2024)
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
by: Hu, Bing, et al.
Published: (2024)
by: Hu, Bing, et al.
Published: (2024)
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)
Chemical Language Model Linker: blending text and molecules with modular adapters
by: Deng, Yifan, et al.
Published: (2024)
by: Deng, Yifan, et al.
Published: (2024)
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
by: Su, Xingyu, et al.
Published: (2025)
by: Su, Xingyu, et al.
Published: (2025)
Similar Items
-
Compositional Deep Probabilistic Models of DNA Encoded Libraries
by: Chen, Benson, et al.
Published: (2023) -
Property-Isometric Variational Autoencoders for Sequence Modeling and Design
by: Sadeghi, Elham, et al.
Published: (2025) -
InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
by: Simon, Elana, et al.
Published: (2024) -
AROMA: Augmented Reasoning Over a Multimodal Architecture for Virtual Cell Genetic Perturbation Modeling
by: Wang, Zhenyu, et al.
Published: (2026) -
MorphGen: Controllable and Morphologically Plausible Generative Cell-Imaging
by: Demirel, Berker, et al.
Published: (2025)