Cover Image

DeepAtlas: a tool for effective manifold learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hughes, Serena, Hamilton, Timothy, Kolokotrones, Tom, Deeds, Eric J.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
by: Zbinden, Robin, et al.
Published: (2024)

Deep learning-guided evolutionary optimization for protein design
by: Hartman, Erik, et al.
Published: (2026)

DeepDR: an integrated deep-learning model web server for drug repositioning
by: Jin, Shuting, et al.
Published: (2025)

DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM
by: Zuo, Wenxuan, et al.
Published: (2024)

GPCR-Filter: a deep learning framework for efficient and precise GPCR modulator discovery
by: Ning, Jingjie, et al.
Published: (2026)

Physics-informed deep learning for infectious disease forecasting
by: Qian, Ying, et al.
Published: (2025)

New tools for comparing classical and neural ODE models for tumor growth
by: Blaom, Anthony D., et al.
Published: (2025)

Understanding protein function with a multimodal retrieval-augmented foundation model
by: Truong Jr, Timothy Fei, et al.
Published: (2025)

Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis
by: Partin, Alexander, et al.
Published: (2025)

Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems
by: Voina, Doris, et al.
Published: (2024)

Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data
by: Strobl, Eric V.
Published: (2025)

Global Interpretability via Automated Preprocessing: A Framework Inspired by Psychiatric Questionnaires
by: Strobl, Eric V.
Published: (2026)

Active learning for affinity prediction of antibodies
by: Gessner, Alexandra, et al.
Published: (2024)

Q-MRS: A Deep Learning Framework for Quantitative Magnetic Resonance Spectra Analysis
by: Wu, Christopher J., et al.
Published: (2024)

PoET: A generative model of protein families as sequences-of-sequences
by: Truong Jr, Timothy F., et al.
Published: (2023)

CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning
by: Wu, Dongxia, et al.
Published: (2026)

dsLassoCov: a federated machine learning approach incorporating covariate control
by: Cao, Han, et al.
Published: (2024)

Explainable Deep Learning Framework for SERS Bio-quantification
by: Zaki, Jihan K., et al.
Published: (2024)

Deep Neural Cellular Potts Models
by: Minartz, Koen, et al.
Published: (2025)

Numerical Stability of DeepGOPlus Inference
by: Pepe, Inés Gonzalez, et al.
Published: (2022)

Reliable algorithm selection for machine learning-guided design
by: Fannjiang, Clara, et al.
Published: (2025)

Opportunities in deep learning methods development for computational biology
by: Lee, Alex Jihun, et al.
Published: (2024)

Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
by: Campbell, Andrew, et al.
Published: (2024)

Global Deep Forecasting with Patient-Specific Pharmacokinetics
by: Potosnak, Willa, et al.
Published: (2023)

Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak
by: Barman, Madhab, et al.
Published: (2025)

Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
by: Martin, Annabelle, et al.
Published: (2025)

Protein generation with embedding learning for motif diversification
by: Michalewicz, Kevin, et al.
Published: (2025)

Compositional Deep Probabilistic Models of DNA Encoded Libraries
by: Chen, Benson, et al.
Published: (2023)

Prenatal Stress Detection from Electrocardiography Using Self-Supervised Deep Learning: Development and External Validation
by: Frasch, Martin G., et al.
Published: (2026)

Motif-aware Attribute Masking for Molecular Graph Pre-training
by: Inae, Eric, et al.
Published: (2023)

Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior
by: Suk, Julian, et al.
Published: (2024)

deepNoC: A deep learning system to assign the number of contributors to a short tandem repeat DNA profile
by: Taylor, Duncan, et al.
Published: (2024)

Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning
by: Fishman, Nic, et al.
Published: (2025)

Machine learning approaches to explore important features behind bird flight modes
by: Kawai, Yukino, et al.
Published: (2024)

Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography
by: Zhang, Andrew H., et al.
Published: (2024)

PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
by: Mahbub, Sazan, et al.
Published: (2025)

Estimating carbon pools in the shelf sea environment: reanalysis or model-informed machine learning?
by: Skakala, Jozef
Published: (2025)

Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages
by: Bo, Gabriel, et al.
Published: (2025)

Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
by: Delzer, Luke, et al.
Published: (2025)

Deep Learning Framework for RNA Inverse Folding with Geometric Structure Potentials
by: Yao, Annabelle
Published: (2025)