Image de couverture de livre

Revealing data leakage in protein interaction benchmarks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bushuiev, Anton, Bushuiev, Roman, Sedlar, Jiri, Pluskal, Tomas, Damborsky, Jiri, Mazurenko, Stanislav, Sivic, Josef
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning to design protein-protein interactions with enhanced generalization
par: Bushuiev, Anton, et autres
Publié: (2023)

One protein is all you need
par: Bushuiev, Anton, et autres
Publié: (2024)

De novo generation of functional terpene synthases using TpsGPT
par: Ramanathan, Hamsini, et autres
Publié: (2025)

Learning to engineer protein flexibility
par: Kouba, Petr, et autres
Publié: (2024)

Generalization Beyond Benchmarks: Evaluating Learnable Protein-Ligand Scoring Functions on Unseen Targets
par: Kopko, Jakub, et autres
Publié: (2025)

MassSpecGym: A benchmark for the discovery and identification of molecules
par: Bushuiev, Roman, et autres
Publié: (2024)

Generating Likely Counterfactuals Using Sum-Product Networks
par: Nemecek, Jiri, et autres
Publié: (2024)

Improving the Validity of Decision Trees as Explanations
par: Nemecek, Jiri, et autres
Publié: (2023)

Thrombolytic proteins profiling: High‐throughput activity, selectivity, and resistance assays
par: Martin Toul, et autres
Publié: (2025)

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system
par: Maria Tomková, et autres
Publié: (2026)

LCDC: Bridging Science and Machine Learning for Light Curve Analysis
par: Kyselica, Daniel, et autres
Publié: (2025)

Directed Evolution of Proteins via Bayesian Optimization in Embedding Space
par: Soldát, Matouš, et autres
Publié: (2025)

Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression
par: Kubalík, Jiří, et autres
Publié: (2025)

Bias Detection via Maximum Subgroup Discrepancy
par: Němeček, Jiří, et autres
Publié: (2025)

Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks
par: Kunc, Vladimír, et autres
Publié: (2024)

Intersectional Fairness via Mixed-Integer Optimization
par: Němeček, Jiří, et autres
Publié: (2026)

RoBo6: Standardized MMT Light Curve Dataset for Rocket Body Classification
par: Kyselica, Daniel, et autres
Publié: (2024)

The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
par: Chevallier, Sylvain, et autres
Publié: (2024)

MotifBench: A standardized protein design benchmark for motif-scaffolding problems
par: Zheng, Zhuoqi, et autres
Publié: (2025)

A large dataset curation and benchmark for drug target interaction
par: Golts, Alex, et autres
Publié: (2024)

Plausible Counterfactual Explanations of Recommendations
par: Černý, Jakub, et autres
Publié: (2025)

Geometric Reasoning in the Embedding Space
par: Hůla, Jan, et autres
Publié: (2025)

Structure Prediction and Computational Protein Design for Efficient Biocatalysts and Bioactive Proteins
par: Rebecca Buller, et autres
Publié: (2024)

Structure Prediction and Computational Protein Design for Efficient Biocatalysts and Bioactive Proteins
par: Rebecca Buller, et autres
Publié: (2024)

PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models
par: Neupane, Pawan, et autres
Publié: (2025)

LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation
par: Stojnić, Vladan, et autres
Publié: (2025)

Deployment-complete benchmarking
par: Mansouri, El Mustapha, et autres
Publié: (2026)

Energy saving in off-road vehicles using leakage compensation technique
par: Wrat, Gyan, et autres
Publié: (2025)

FREQuency ATTribution: benchmarking frequency-based occlusion for time series data
par: Mercier, Dominique, et autres
Publié: (2025)

Tractable Probabilistic Models for Investment Planning
par: A., Nicolas M. Cuadrado, et autres
Publié: (2025)

Sequence-based protein-protein interaction prediction and its applications in drug discovery
par: Charih, François, et autres
Publié: (2025)

tf.data service: A Case for Disaggregating ML Input Data Processing
par: Audibert, Andrew, et autres
Publié: (2022)

When big data actually are low-rank, or entrywise approximation of certain function-generated matrices
par: Budzinskiy, Stanislav
Publié: (2024)

ENTIRE: Learning-based Volume Rendering Time Prediction
par: Yin, Zikai, et autres
Publié: (2025)

Featuremetric benchmarking: Quantum computer benchmarks based on circuit features
par: Proctor, Timothy, et autres
Publié: (2025)

Assessing interaction recovery of predicted protein-ligand poses
par: Errington, David, et autres
Publié: (2024)

Piecewise Polynomial Regression of Tame Functions via Integer Programming
par: Bareilles, Gilles, et autres
Publié: (2023)

Representing Piecewise-Linear Functions by Functions with Minimal Arity
par: Koutschan, Christoph, et autres
Publié: (2024)

The impact of sensor placement on graph-neural-network-based leakage detection
par: van Gemert, J. J. H., et autres
Publié: (2026)

Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments
par: Anton, Oliver, et autres
Publié: (2023)