Random feature baselines provide distributional performance and feature selection benchmarks for clinical and 'omic machine learning
Fuente:
arXiv
Saved in:
| Main Authors: | Ellis, Randall J., Airaud, Audrey, Patel, Chirag J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
by: Chang, Joshua C., et al.
Published: (2020)
by: Chang, Joshua C., et al.
Published: (2020)
Machine learning-enhanced non-amnestic Alzheimer's disease diagnosis from MRI and clinical features
by: Witherow, Megan A., et al.
Published: (2026)
by: Witherow, Megan A., et al.
Published: (2026)
Reliable algorithm selection for machine learning-guided design
by: Fannjiang, Clara, et al.
Published: (2025)
by: Fannjiang, Clara, et al.
Published: (2025)
DOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics
by: Rahimi, Arezou, et al.
Published: (2023)
by: Rahimi, Arezou, et al.
Published: (2023)
Maximally informative feature selection using Information Imbalance: Application to COVID-19 severity prediction
by: Wild, Romina, et al.
Published: (2024)
by: Wild, Romina, et al.
Published: (2024)
Machine learning approaches to explore important features behind bird flight modes
by: Kawai, Yukino, et al.
Published: (2024)
by: Kawai, Yukino, et al.
Published: (2024)
Association of normalization, non-differentially expressed genes and data source with machine learning performance in intra-dataset or cross-dataset modelling of transcriptomic and clinical data
by: Deng, Fei, et al.
Published: (2025)
by: Deng, Fei, et al.
Published: (2025)
Disentangling Proxies of Demographic Adjustments in Clinical Equations
by: Shah, Aashna P., et al.
Published: (2025)
by: Shah, Aashna P., et al.
Published: (2025)
Improving statistical learning methods via features selection without replacement sampling and random projection
by: khan, Sulaiman, et al.
Published: (2025)
by: khan, Sulaiman, et al.
Published: (2025)
Evaluation of machine-learning models to measure individualized treatment effects from randomized clinical trial data with time-to-event outcomes
by: Roblin, Elvire, et al.
Published: (2025)
by: Roblin, Elvire, et al.
Published: (2025)
Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data
by: Singla, Ayush, et al.
Published: (2024)
by: Singla, Ayush, et al.
Published: (2024)
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches
by: Baião, Ana R., et al.
Published: (2025)
by: Baião, Ana R., et al.
Published: (2025)
Discovering Multi-omic Biomarkers for Prostate Cancer Severity Using Machine Learning
by: Zhou, Jefferson, et al.
Published: (2024)
by: Zhou, Jefferson, et al.
Published: (2024)
A geometric feature tracking approach for noninvasive patient specific estimation of leaflet strain from 3D images of heart valves
by: Wu, Wensi, et al.
Published: (2025)
by: Wu, Wensi, et al.
Published: (2025)
Assessing global drivers of forest transpiration using clustered machine learning models
by: Thornwell, Morgan, et al.
Published: (2026)
by: Thornwell, Morgan, et al.
Published: (2026)
ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning
by: Zeng, Wenwu, et al.
Published: (2023)
by: Zeng, Wenwu, et al.
Published: (2023)
Combining machine learning with data assimilation to improve the quality of phytoplankton forecasting in a shelf sea environment
by: Banerjee, Deep S, et al.
Published: (2025)
by: Banerjee, Deep S, et al.
Published: (2025)
CESPED: a new benchmark for supervised particle pose estimation in Cryo-EM
by: Sanchez-Garcia, Ruben, et al.
Published: (2023)
by: Sanchez-Garcia, Ruben, et al.
Published: (2023)
Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples
by: Chintapalli, Sai Spandana, et al.
Published: (2024)
by: Chintapalli, Sai Spandana, et al.
Published: (2024)
Last-layer committee machines for uncertainty estimations of benthic imagery
by: Gillis, H. Martin, et al.
Published: (2025)
by: Gillis, H. Martin, et al.
Published: (2025)
Normalization and selecting non-differentially expressed genes improve machine learning modelling of cross-platform transcriptomic data
by: Deng, Fei, et al.
Published: (2025)
by: Deng, Fei, et al.
Published: (2025)
Variability of morphology in beat-to-beat photoplethysmographic waveform quantified with unsupervised wave-shape manifold learning for clinical assessment
by: Ho, Yu-Chieh, et al.
Published: (2023)
by: Ho, Yu-Chieh, et al.
Published: (2023)
The mouth speaks as much as the eyes: Free-ranging dogs depend on inner facial features for human recognition
by: Sarkar, Rohan, et al.
Published: (2024)
by: Sarkar, Rohan, et al.
Published: (2024)
MD-Syn: Synergistic drug combination prediction based on the multidimensional feature fusion method and attention mechanisms
by: Ge, XinXin, et al.
Published: (2025)
by: Ge, XinXin, et al.
Published: (2025)
Global graph features unveiled by unsupervised geometric deep learning
by: Granfors, Mirja, et al.
Published: (2025)
by: Granfors, Mirja, et al.
Published: (2025)
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
by: Zbinden, Robin, et al.
Published: (2024)
by: Zbinden, Robin, et al.
Published: (2024)
Quantum machine learning framework for longitudinal biomedical studies
by: Demidik, Maria, et al.
Published: (2025)
by: Demidik, Maria, et al.
Published: (2025)
Quantifying topological features and irregularities in zebrafish patterns using the sweeping-plane filtration
by: Khoudari, Nour, et al.
Published: (2025)
by: Khoudari, Nour, et al.
Published: (2025)
Topological model selection: a case-study in tumour-induced angiogenesis
by: McDonald, Robert A, et al.
Published: (2025)
by: McDonald, Robert A, et al.
Published: (2025)
Domain-aware priors stabilize, not merely enable, vertical federated learning in data-scarce coral multi-omics
by: Victor, Sam
Published: (2025)
by: Victor, Sam
Published: (2025)
Dynamical network stability analysis of multiple biological ages provides a framework for understanding the aging process
by: Pridham, Glen, et al.
Published: (2023)
by: Pridham, Glen, et al.
Published: (2023)
MassSpecGym: A benchmark for the discovery and identification of molecules
by: Bushuiev, Roman, et al.
Published: (2024)
by: Bushuiev, Roman, et al.
Published: (2024)
Boosting drug-disease association prediction for drug repositioning via dual-feature extraction and cross-dual-domain decoding
by: Zhu, Enqiang, et al.
Published: (2024)
by: Zhu, Enqiang, et al.
Published: (2024)
SSRCA: a novel machine learning pipeline to perform sensitivity analysis for agent-based models
by: Rohr, Edward H., et al.
Published: (2025)
by: Rohr, Edward H., et al.
Published: (2025)
MovementVR: An open-source tool for the study of motor control and learning in virtual reality
by: Rossi, Cristina, et al.
Published: (2025)
by: Rossi, Cristina, et al.
Published: (2025)
Temporal Dynamics of Microbial Communities in Anaerobic Digestion: Influence of Temperature and Feedstock Composition on Reactor Performance and Stability
by: Piercy, Ellen, et al.
Published: (2025)
by: Piercy, Ellen, et al.
Published: (2025)
dsLassoCov: a federated machine learning approach incorporating covariate control
by: Cao, Han, et al.
Published: (2024)
by: Cao, Han, et al.
Published: (2024)
Estimating carbon pools in the shelf sea environment: reanalysis or model-informed machine learning?
by: Skakala, Jozef
Published: (2025)
by: Skakala, Jozef
Published: (2025)
Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma
by: Sancéré, Lucas, et al.
Published: (2025)
by: Sancéré, Lucas, et al.
Published: (2025)
T cell receptor binding prediction: A machine learning revolution
by: Weber, Anna, et al.
Published: (2023)
by: Weber, Anna, et al.
Published: (2023)
Similar Items
-
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
by: Chang, Joshua C., et al.
Published: (2020) -
Machine learning-enhanced non-amnestic Alzheimer's disease diagnosis from MRI and clinical features
by: Witherow, Megan A., et al.
Published: (2026) -
Reliable algorithm selection for machine learning-guided design
by: Fannjiang, Clara, et al.
Published: (2025) -
DOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics
by: Rahimi, Arezou, et al.
Published: (2023) -
Maximally informative feature selection using Information Imbalance: Application to COVID-19 severity prediction
by: Wild, Romina, et al.
Published: (2024)