Linearized Optimal Transport for Analysis of High-Dimensional Point-Cloud and Single-Cell Data
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Tianxiang, Ke, Yingtong, Bhaskar, Dhananjay, Krishnaswamy, Smita, Cloninger, Alexander |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics
by: Rocha, Joao F., et al.
Published: (2025)
by: Rocha, Joao F., et al.
Published: (2025)
Artificial Intelligence for Pediatric Height Prediction Using Large-Scale Longitudinal Body Composition Data
by: Chun, Dohyun, et al.
Published: (2025)
by: Chun, Dohyun, et al.
Published: (2025)
ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamics
by: Viswanath, Siddharth, et al.
Published: (2024)
by: Viswanath, Siddharth, et al.
Published: (2024)
Predicting Microbial Interactions Using Graph Neural Networks
by: Gholamzadeh, Elham, et al.
Published: (2025)
by: Gholamzadeh, Elham, et al.
Published: (2025)
Aligned Manifold Property and Topology Point Clouds for Learning Molecular Properties
by: Mihalcea, Alexander
Published: (2025)
by: Mihalcea, Alexander
Published: (2025)
Resistance Distance and Linearized Optimal Transport on Graphs
by: Robertson, Sawyer, et al.
Published: (2024)
by: Robertson, Sawyer, et al.
Published: (2024)
scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
by: D'Ascenzo, Davide, et al.
Published: (2025)
by: D'Ascenzo, Davide, et al.
Published: (2025)
Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics Data
by: Alharbi, Fadi, et al.
Published: (2025)
by: Alharbi, Fadi, et al.
Published: (2025)
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)
Recovering Time-Varying Networks From Single-Cell Data
by: Hasanaj, Euxhen, et al.
Published: (2024)
by: Hasanaj, Euxhen, et al.
Published: (2024)
Identifying Chemicals Through Dimensionality Reduction
by: Anand, Emile, et al.
Published: (2022)
by: Anand, Emile, et al.
Published: (2022)
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
by: Di Teodoro, Giulia, et al.
Published: (2023)
by: Di Teodoro, Giulia, et al.
Published: (2023)
Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action
by: Sun, Yuhao, et al.
Published: (2025)
by: Sun, Yuhao, 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)
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)
Unsupervised Evolutionary Cell Type Matching via Entropy-Minimized Optimal Transport
by: Qiao, Mu
Published: (2025)
by: Qiao, Mu
Published: (2025)
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
by: Margeloiu, Andrei, et al.
Published: (2022)
by: Margeloiu, Andrei, et al.
Published: (2022)
BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Deciphering Cell Systems: Machine Learning Perspectives And Approaches For The Analysis Of Single-Cell Data
by: Yang, Yongjian
Published: (2024)
by: Yang, Yongjian
Published: (2024)
RNAGenScape: Property-Guided, Optimized Generation of mRNA Sequences with Manifold Langevin Dynamics
by: Liao, Danqi, et al.
Published: (2025)
by: Liao, Danqi, 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)
Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen
by: Palma, Alessandro, et al.
Published: (2024)
by: Palma, Alessandro, et al.
Published: (2024)
Synergistic Benefits of Joint Molecule Generation and Property Prediction
by: Izdebski, Adam, et al.
Published: (2025)
by: Izdebski, Adam, et al.
Published: (2025)
Escaping Local Optima in the Waddington Landscape: A Two-Stage TRPO-PPO Approach for Single-Cell Perturbation Analysis
by: Boabang, Francis, et al.
Published: (2025)
by: Boabang, Francis, et al.
Published: (2025)
Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics
by: Sun, Xingzhi, et al.
Published: (2024)
by: Sun, Xingzhi, et al.
Published: (2024)
CellForge: Agentic Design of Virtual Cell Models
by: Tang, Xiangru, et al.
Published: (2025)
by: Tang, Xiangru, 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)
Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
by: Palma, Alessandro, et al.
Published: (2025)
by: Palma, Alessandro, et al.
Published: (2025)
scPPDM: A Diffusion Model for Single-Cell Drug-Response Prediction
by: Liang, Zhaokang, et al.
Published: (2025)
by: Liang, Zhaokang, et al.
Published: (2025)
A Structural Analysis of Population Graphs
by: Ayers, Kimberly, et al.
Published: (2025)
by: Ayers, Kimberly, et al.
Published: (2025)
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)
Predicting COVID-19 Prevalence Using Wastewater RNA Surveillance: A Semi-Supervised Learning Approach with Temporal Feature Trust
by: Chen, Yifei, et al.
Published: (2025)
by: Chen, Yifei, et al.
Published: (2025)
The Manifold Scattering Transform for High-Dimensional Point Cloud Data
by: Chew, Joyce, et al.
Published: (2022)
by: Chew, Joyce, et al.
Published: (2022)
KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction
by: Niloy, Soumik Deb, et al.
Published: (2026)
by: Niloy, Soumik Deb, et al.
Published: (2026)
BeeTLe: An Imbalance-Aware Deep Sequence Model for Linear B-Cell Epitope Prediction and Classification with Logit-Adjusted Losses
by: Yuan, Xiao
Published: (2023)
by: Yuan, Xiao
Published: (2023)
Fast and Interpretable Protein Substructure Alignment via Optimal Transport
by: Wang, Zhiyu, et al.
Published: (2025)
by: Wang, Zhiyu, et al.
Published: (2025)
Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis
by: Rossi, Ivan, et al.
Published: (2025)
by: Rossi, Ivan, et al.
Published: (2025)
Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations
by: Lange, Christoph, et al.
Published: (2024)
by: Lange, Christoph, et al.
Published: (2024)
DataMap: A Portable Application for Visualizing High-Dimensional Data
by: Ge, Xijin
Published: (2025)
by: Ge, Xijin
Published: (2025)
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
by: Manu, Bright Kwaku, et al.
Published: (2025)
by: Manu, Bright Kwaku, et al.
Published: (2025)
Similar Items
-
STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics
by: Rocha, Joao F., et al.
Published: (2025) -
Artificial Intelligence for Pediatric Height Prediction Using Large-Scale Longitudinal Body Composition Data
by: Chun, Dohyun, et al.
Published: (2025) -
ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamics
by: Viswanath, Siddharth, et al.
Published: (2024) -
Predicting Microbial Interactions Using Graph Neural Networks
by: Gholamzadeh, Elham, et al.
Published: (2025) -
Aligned Manifold Property and Topology Point Clouds for Learning Molecular Properties
by: Mihalcea, Alexander
Published: (2025)