Effective Biological Representation Learning by Masking Gene Expression
Fuente:
arXiv
Saved in:
| Main Authors: | Kenyon-Dean, Kian, Selega, Alina, Bendidi, Ihab, Sorokin, Jordan M., Bertinetto, Luca, Errington, David, Donnella, Hayley, Kraus, Oren |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SpatialBench: Can Agents Analyze Real-World Spatial Biology Data?
by: Workman, Kenny, et al.
Published: (2025)
by: Workman, Kenny, et al.
Published: (2025)
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
by: Kenyon-Dean, Kian, et al.
Published: (2024)
by: Kenyon-Dean, Kian, et al.
Published: (2024)
Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data
by: Nasybullin, Albert, et al.
Published: (2026)
by: Nasybullin, Albert, et al.
Published: (2026)
Chreode: A Cell World Model for One-Step Temporal Dynamics and Perturbation Prediction
by: Qiu, Mufan, et al.
Published: (2026)
by: Qiu, Mufan, et al.
Published: (2026)
Methodological Precedence in Health Tech: Why ML/Big Data Analysis Must Follow Basic Epidemiological Consistency. A Case Study
by: Roccetti, Marco
Published: (2025)
by: Roccetti, Marco
Published: (2025)
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning
by: Chen, Xi, et al.
Published: (2025)
by: Chen, Xi, et al.
Published: (2025)
Towards Coordinate- and Dimension-Agnostic Machine Learning for Partial Differential Equations
by: Phan, Trung V., et al.
Published: (2025)
by: Phan, Trung V., et al.
Published: (2025)
Intermediate Layers Encode Optimal Biological Representations in Single-Cell Foundation Models
by: Civale, Vincenzo Yuto, et al.
Published: (2026)
by: Civale, Vincenzo Yuto, et al.
Published: (2026)
Untrained CNNs Match Backpropagation at V1: A Systematic RSA Comparison of Four Learning Rules Against Human fMRI
by: Leutenegger, Nils
Published: (2026)
by: Leutenegger, Nils
Published: (2026)
A general language model for peptide function identification
by: Zhai, Jixiu, et al.
Published: (2025)
by: Zhai, Jixiu, et al.
Published: (2025)
Interpreting artificial neural networks to detect genome-wide association signals for complex traits
by: Yelmen, Burak, et al.
Published: (2024)
by: Yelmen, Burak, et al.
Published: (2024)
SG-CLDFF: A Novel Framework for Automated White Blood Cell Classification and Segmentation
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)
Convolutional Neural Network and Adversarial Autoencoder in EEG images classification
by: Nasybullin, Albert, et al.
Published: (2026)
by: Nasybullin, Albert, et al.
Published: (2026)
Identifying Memory Effects in Epidemics via a Fractional SEIRD Model and Physics-Informed Neural Networks
by: Zinihi, Achraf
Published: (2025)
by: Zinihi, Achraf
Published: (2025)
Estimating the Event-Related Potential from Few EEG Trials
by: Nørskov, Anders Vestergaard, et al.
Published: (2025)
by: Nørskov, Anders Vestergaard, et al.
Published: (2025)
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions
by: XU, Shengrui, et al.
Published: (2025)
by: XU, Shengrui, et al.
Published: (2025)
Structural Graph Neural Networks with Anatomical Priors for Explainable Chest X-ray Diagnosis
by: Berkani, Khaled
Published: (2026)
by: Berkani, Khaled
Published: (2026)
Robust Synchronization of Time-Fractional Memristive Hopfield Neural Networks
by: You, Yuncheng
Published: (2025)
by: You, Yuncheng
Published: (2025)
Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images
by: Mohammadi, Mana, et al.
Published: (2025)
by: Mohammadi, Mana, et al.
Published: (2025)
Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration
by: Goudarzi, Hojjat Torabi, et al.
Published: (2025)
by: Goudarzi, Hojjat Torabi, et al.
Published: (2025)
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting
by: Han, Shuai, et al.
Published: (2025)
by: Han, Shuai, et al.
Published: (2025)
KAN vs LSTM Performance in Time Series Forecasting
by: Rather, Tabish Ali, et al.
Published: (2025)
by: Rather, Tabish Ali, et al.
Published: (2025)
A Boltzmann-machine-enhanced Transformer For DNA Sequence Classification
by: Cao, Zhixuan, et al.
Published: (2026)
by: Cao, Zhixuan, et al.
Published: (2026)
Low Dose CT for Stroke Diagnosis: A Dual Pipeline Deep Learning Framework for Portable Neuroimaging
by: Ghosal, Rhea, et al.
Published: (2026)
by: Ghosal, Rhea, et al.
Published: (2026)
Structural Plasticity as Active Inference: A Biologically-Inspired Architecture for Homeostatic Control
by: Hill, Brennen A.
Published: (2025)
by: Hill, Brennen A.
Published: (2025)
UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
by: Li, Chenao, et al.
Published: (2025)
by: Li, Chenao, et al.
Published: (2025)
CMGL: Confidence-guided Multi-omics Graph Learning for Cancer Subtype Classification
by: Fan, Boyang, et al.
Published: (2026)
by: Fan, Boyang, et al.
Published: (2026)
Deep-learning-based electrode action potential mapping (DEAP Mapping) from annotation-free unipolar electrogram
by: Seno, Hiroshi, et al.
Published: (2024)
by: Seno, Hiroshi, et al.
Published: (2024)
Perforated Neural Networks for Keyword Spotting
by: Gopal, Vishy, et al.
Published: (2026)
by: Gopal, Vishy, et al.
Published: (2026)
ProteinJEPA: Latent prediction complements protein language models
by: Ofer, Dan, et al.
Published: (2026)
by: Ofer, Dan, et al.
Published: (2026)
mlx-snn: Spiking Neural Networks on Apple Silicon via MLX
by: Qin, Jiahao
Published: (2026)
by: Qin, Jiahao
Published: (2026)
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
by: Książek, Kamil, et al.
Published: (2023)
by: Książek, Kamil, et al.
Published: (2023)
Differentially private federated learning for localized control of infectious disease dynamics
by: Kerkouche, Raouf, et al.
Published: (2025)
by: Kerkouche, Raouf, et al.
Published: (2025)
A New Lotka-Volterra Model of Competition With Strategic Aggression -- Civil Wars When Strategy Comes Into Play
by: Affili, Elisa, et al.
Published: (2020)
by: Affili, Elisa, et al.
Published: (2020)
Guiding Sparse Neural Networks with Neurobiological Principles to Elicit Biologically Plausible Representations
by: Inoue, Patrick, et al.
Published: (2026)
by: Inoue, Patrick, et al.
Published: (2026)
Multi-atlas Ensemble Graph Neural Network Model For Major Depressive Disorder Detection Using Functional MRI Data
by: Alotaibi, Nojod M., et al.
Published: (2024)
by: Alotaibi, Nojod M., et al.
Published: (2024)
3DViT-GAT: A Unified Atlas-Based 3D Vision Transformer and Graph Learning Framework for Major Depressive Disorder Detection Using Structural MRI Data
by: Alotaibi, Nojod M., et al.
Published: (2025)
by: Alotaibi, Nojod M., et al.
Published: (2025)
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation
by: Weihsbach, Christian, et al.
Published: (2023)
by: Weihsbach, Christian, et al.
Published: (2023)
Enhancing mortality prediction in cardiac arrest ICU patients through meta-modeling of structured clinical data from MIMIC-IV
by: Mamatov, Nursultan, et al.
Published: (2025)
by: Mamatov, Nursultan, et al.
Published: (2025)
Similar Items
-
SpatialBench: Can Agents Analyze Real-World Spatial Biology Data?
by: Workman, Kenny, et al.
Published: (2025) -
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
by: Kenyon-Dean, Kian, et al.
Published: (2024) -
Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension
by: Guo, Dongxin, et al.
Published: (2026) -
How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data
by: Nasybullin, Albert, et al.
Published: (2026) -
Chreode: A Cell World Model for One-Step Temporal Dynamics and Perturbation Prediction
by: Qiu, Mufan, et al.
Published: (2026)