Copertina

Affinity-VAE: incorporating prior knowledge in representation learning from scientific images

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Famili, Marjan, Mirecka, Jola, Smith, Camila Rangel, Kotańska, Anna, Juraschko, Nikolai, Costa-Gomes, Beatriz, Palmer, Colin M., Thiyagalingam, Jeyan, Burnley, Tom, Basham, Mark, Lowe, Alan R.
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Computer Vision and Pattern Recognition Machine Learning Quantitative Methods
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modelling and machine learning
di: Costa-Gomes, Beatriz, et al.
Pubblicazione: (2025)

ProtT-Affinity: Sequence-Based Protein-Protein Binding Affinity Prediction Using ProtT5 Embeddings
di: Lou, Hongfu
Pubblicazione: (2025)

PINNet: a deep neural network with pathway prior knowledge for Alzheimer's disease
di: Kim, Yeojin, et al.
Pubblicazione: (2022)

CoVAE: correlated multimodal generative modeling
di: Caretti, Federico, et al.
Pubblicazione: (2026)

On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction
di: Schapin, Nikolai, et al.
Pubblicazione: (2024)

CAP: Commutative Algebra Prediction of Protein-Nucleic Acid Binding Affinities
di: Zia, Mushal, et al.
Pubblicazione: (2025)

AbAffinity: A Large Language Model for Predicting Antibody Binding Affinity against SARS-CoV-2
di: Ashraf, Faisal Bin, et al.
Pubblicazione: (2026)

Triplication: an important component of the modern scientific method
di: Clark, Jeremy S. C., et al.
Pubblicazione: (2022)

Domain-Aware Geometric Multimodal Learning for Multi-Domain Protein-Ligand Affinity Prediction
di: Zhang, Shuo, et al.
Pubblicazione: (2026)

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation
di: Liu, Xiang, et al.
Pubblicazione: (2025)

Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery
di: Cropsal, Télio, et al.
Pubblicazione: (2025)

BAPULM: Binding Affinity Prediction using Language Models
di: Meda, Radheesh Sharma, et al.
Pubblicazione: (2024)

Twin Peaks: Dual-Head Architecture for Structure-Free Prediction of Protein-Protein Binding Affinity and Mutation Effects
di: Dey, Supantha, et al.
Pubblicazione: (2025)

Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
di: Vefghi, Ali, et al.
Pubblicazione: (2025)

Enhancing Protein-Ligand Binding Affinity Predictions using Neural Network Potentials
di: Zariquiey, Francesc Sabanes, et al.
Pubblicazione: (2024)

Mapping Differential Protein-Protein Interaction Networks using Affinity Purification Mass Spectrometry
di: Kaushal, Prashant, et al.
Pubblicazione: (2024)

Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering
di: Liu, Chen, et al.
Pubblicazione: (2025)

Learning immune receptor representations with protein language models
di: Dounas, Andreas, et al.
Pubblicazione: (2024)

A substructure‐aware graph neural network incorporating relation features for drug–drug interaction prediction
di: Liangcheng Dong, et al.
Pubblicazione: (2024)

Reproducibility and scientific interpretation in the age of AI: consilience in biological systematics, ecology, and molecular biology
di: Santos, Charles Morphy D., et al.
Pubblicazione: (2025)

BASIN: Bayesian mAtrix variate normal model with Spatial and sparsIty priors in Non-negative deconvolution
di: Zhang, Jiasen, et al.
Pubblicazione: (2025)

Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO)
di: Köhler, Cristiano André, et al.
Pubblicazione: (2024)

The ultimate issue error in scientific inference: mistaking parameters for hypotheses
di: Lazic, Stanley E.
Pubblicazione: (2024)

Single-Cell Proteomic Technologies: Tools in the quest for principles
di: Slavov, Nikolai
Pubblicazione: (2025)

pHapCompass: Probabilistic Assembly and Uncertainty Quantification of Polyploid Haplotype Phase
di: Hosseini, Marjan, et al.
Pubblicazione: (2025)

A comprehensive evaluation of large language models in mining gene relations and pathway knowledge
di: Muhammad Azam, et al.
Pubblicazione: (2024)

Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior
di: Yang, Yunqi, et al.
Pubblicazione: (2025)

Why we need all the organisms: an exploration of the Monarch knowledge graph to aid mechanism discovery
di: Cortes, Katherina, et al.
Pubblicazione: (2025)

Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches
di: Liu, Xuefeng, et al.
Pubblicazione: (2024)

PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network
di: Abbasi, Karim, et al.
Pubblicazione: (2024)

Multi-Relevance: Coexisting but Distinct Notions of Scale in Large Systems
di: Kline, Adam G., et al.
Pubblicazione: (2023)

Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties
di: Allotey, Johannes, et al.
Pubblicazione: (2021)

Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning
di: Leng, Kuangdai, et al.
Pubblicazione: (2023)

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

R3F: An R package for evolutionary dates, rates, and priors using the relative rate framework
di: Tao, Qiqing, et al.
Pubblicazione: (2025)

Diffusion model‐regularized implicit neural representation for computed tomography metal artifact reduction
di: Jie Wen, et al.
Pubblicazione: (2026)

Desiderata for a biomedical knowledge network: opportunities, challenges and future Directions
di: Wu, Chunlei, et al.
Pubblicazione: (2025)

DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction
di: Liu, Meng, et al.
Pubblicazione: (2024)

Album: executable building blocks for scientific imaging routines, from sharing to LLM-assisted orchestration
di: Albrecht, Jan Philipp, et al.
Pubblicazione: (2021)

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