Image de couverture de livre

DOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Rahimi, Arezou, Vale-Silva, Luis A., Savitski, Maria Faelth, Tanevski, Jovan, Saez-Rodriguez, Julio
Format:	Preprint
Publié:	2023
Sujets:	Computational Engineering, Finance, and Science Quantitative Methods
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration
par: Sun, Jianle, et autres
Publié: (2025)

Physical formula enhanced multi-task learning for pharmacokinetics prediction
par: Li, Ruifeng, et autres
Publié: (2024)

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles
par: Wang, Qing, et autres
Publié: (2025)

Rational Multi-Modal Transformers for TCR-pMHC Prediction
par: Li, Jiarui, et autres
Publié: (2025)

PhoTorch: A robust and generalized biochemical photosynthesis model fitting package based on PyTorch
par: Lei, Tong, et autres
Publié: (2025)

Projecting Molecules into Synthesizable Chemical Spaces
par: Luo, Shitong, et autres
Publié: (2024)

Omni-fMRI: A Universal Atlas-Free fMRI Foundation Model
par: Wang, Mo, et autres
Publié: (2026)

FOSS solution for Molecular Dynamics Simulation Automation and Collaboration with MDSGAT
par: Nelson, Jai Geddes, et autres
Publié: (2025)

Small Language Models Can Use Nuanced Reasoning For Health Science Research Classification: A Microbial-Oncogenesis Case Study
par: Dawood, Muhammed Muaaz, et autres
Publié: (2025)

Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID
par: Flaschel, Moritz, et autres
Publié: (2023)

On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions
par: Choi, Chloe H., et autres
Publié: (2025)

CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization
par: Hu, Yicheng, et autres
Publié: (2026)

The Patient is not a Moving Document: A World Model Training Paradigm for Longitudinal EHR
par: Adam, Irsyad, et autres
Publié: (2026)

AbFlow : End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching
par: Wang, Wenda, et autres
Publié: (2026)

TCR-EML: Explainable Model Layers for TCR-pMHC Prediction
par: Li, Jiarui, et autres
Publié: (2025)

Large Language Models for Bioinformatics
par: Ruan, Wei, et autres
Publié: (2025)

ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue
par: Wu, Wensi, et autres
Publié: (2024)

Controllable Protein Sequence Generation with LLM Preference Optimization
par: Liu, Xiangyu, et autres
Publié: (2025)

Approximate Constrained Lumping of Chemical Reaction Networks
par: Leguizamon-Robayo, Alexander, et autres
Publié: (2024)

Physio-DPO: Aligning Large Language Models with the Protein Energy Landscape to Eliminate Structural Hallucinations
par: Meng, QiWei
Publié: (2026)

Comparative Analysis of Formula and Structure Prediction from Tandem Mass Spectra
par: Che, Xujun, et autres
Publié: (2026)

InstructPLM-mu: 1-Hour Fine-Tuning of ESM2 Beats ESM3 in Protein Mutation Predictions
par: Xu, Junde, et autres
Publié: (2025)

Geometric Deep Learning for Structure-Based Drug Design: A Survey
par: Zhang, Zaixi, et autres
Publié: (2023)

A Robust eLORETA Technique for Localization of Brain Sources in the Presence of Forward Model Uncertainties
par: Noroozi, A., et autres
Publié: (2024)

Rapid Development of Efficient Participant-Specific Computational Models of the Wrist
par: Andreassen, Thor E., et autres
Publié: (2025)

HarmonyCell: Automating Single-Cell Perturbation Modeling under Semantic and Distribution Shifts
par: Huang, Wenxuan, et autres
Publié: (2026)

SDFStent: Real-time interactive virtual stenting via SDF deformation fields
par: Li, Bohan J., et autres
Publié: (2026)

Boltzina: Efficient and Accurate Virtual Screening via Docking-Guided Binding Prediction with Boltz-2
par: Furui, Kairi, et autres
Publié: (2025)

A Deep Neural Network -- Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat
par: Führer, Florian, et autres
Publié: (2023)

Clustering for Protein Representation Learning
par: Quan, Ruijie, et autres
Publié: (2024)

Martinize2 and Vermouth: Unified Framework for Topology Generation
par: Kroon, Peter C., et autres
Publié: (2022)

Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning
par: Chen, Shaohan, et autres
Publié: (2024)

An Efficient Inference Frame for SMLM (Single-Molecule Localization Microscopy)
par: Luo, Tingdan
Publié: (2024)

Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery
par: Yeon, Kingsley, et autres
Publié: (2026)

LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction
par: Mehradfar, Asal, et autres
Publié: (2025)

An Interpretable Data-Driven Model of the Flight Dynamics of Hawks
par: France, Lydia, et autres
Publié: (2026)

Exploring Biomarker Relationships in Both Type 1 and Type 2 Diabetes Mellitus Through a Bayesian Network Analysis Approach
par: Sun, Yuyang, et autres
Publié: (2024)

Efficient Training of Transformers for Molecule Property Prediction on Small-scale Datasets
par: Prakash, Shivesh
Publié: (2024)

Reconstruction of glymphatic transport fields from subject-specific imaging data, with particular emphasis on cerebrospinal fluid flow and tracer conservation
par: Bakiler, A. Derya, et autres
Publié: (2026)

Retrosynthesis Prediction via Search in (Hyper) Graph
par: Lan, Zixun, et autres
Publié: (2024)