Buchumschlag

To tweak or not to tweak. How exploiting flexibilities in gene set analysis leads to over-optimism

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wünsch, Milena, Sauer, Christina, Herrmann, Moritz, Hinske, Ludwig Christian, Boulesteix, Anne-Laure
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Applications
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

From RNA sequencing measurements to the final results: a practical guide to navigating the choices and uncertainties of gene set analysis
von: Wünsch, Milena, et al.
Veröffentlicht: (2023)

To Tweak or Not to Tweak. How Exploiting Flexibilities in Gene Set Analysis Leads to Overoptimism
von: Milena Wünsch, et al.
Veröffentlicht: (2024)

From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis
von: Milena Wünsch, et al.
Veröffentlicht: (2024)

Trusting CHATGPT: how minor tweaks in the prompts lead to major differences in sentiment classification
von: Cuellar, Jaime E., et al.
Veröffentlicht: (2025)

Not happy with Robert's Rules? It's okay to tweak them, experts say
Veröffentlicht: (2025)

Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results
von: Nießl, Christina, et al.
Veröffentlicht: (2021)

How to Simulate Realistic Survival Data? A Simulation Study to Compare Realistic Simulation Models
von: Thurow, Maria, et al.
Veröffentlicht: (2023)

Rethinking the handling of method failure in comparison studies
von: Wünsch, Milena, et al.
Veröffentlicht: (2024)

Hyper Yoshimura: How a slight tweak on a classical folding pattern unleashes meta-stability for deployable robots
von: Zhou, Ziyang, et al.
Veröffentlicht: (2025)

Utility-based optimization of Fujikawa's basket trial design -- Pre-specified protocol of a comparison study
von: Sauer, Lukas D, et al.
Veröffentlicht: (2024)

Addressing researcher degrees of freedom through minP adjustment
von: Mandl, Maximilian M, et al.
Veröffentlicht: (2024)

Probabilistic modeling of delays for train journeys with transfers
von: Stratil-Sauer, Nikolaus, et al.
Veröffentlicht: (2025)

How to Visualize Computational Mechanics: Animating Finite Elements, Continuum Mechanics, and Tensor Calculus
von: Moritz Flaschel
Veröffentlicht: (2026)

Wind Power Assessment based on Super-Resolution and Downscaling -- A Comparison of Deep Learning Methods
von: Schmidt, Luca, et al.
Veröffentlicht: (2024)

How reliable are remote sensing maps calibrated over large areas? A matter of scale?
von: Luigui, Andrey Ramirez, et al.
Veröffentlicht: (2024)

Estimation of effective number of breeders and effective population size in an abundant and heavily exploited marine teleost
von: Andrea Bertram, et al.
Veröffentlicht: (2024)

Environmental policy in the context of complex systems: Statistical optimization and sensitivity analysis for ABMs
von: Munson, Dylan, et al.
Veröffentlicht: (2026)

Population genomics, life‐history tactics, and mixed‐stock subsistence fisheries in the northernmost American Atlantic salmon populations
von: Alexandre Carbonneau, et al.
Veröffentlicht: (2024)

Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
von: Berrettini, Marco, et al.
Veröffentlicht: (2021)

Multi-objective Bayesian optimization for blocking in extreme value analysis and its application in additive manufacturing
von: Irfan, Shehzaib, et al.
Veröffentlicht: (2025)

Separating Intent from Execution: A Probabilistic Approach to Pitch Location Accuracy
von: Ludwig, Matt, et al.
Veröffentlicht: (2025)

Bayesian compositional regression with flexible microbiome feature aggregation and selection
von: Saha, Satabdi, et al.
Veröffentlicht: (2024)

Bayesian network-guided sparse regression with flexible varying effects
von: Ren, Yangfan, et al.
Veröffentlicht: (2024)

A flexible and interpretable spatial covariance model for data on graphs
von: Christensen, Michael F., et al.
Veröffentlicht: (2022)

Intelligent data collection for network discrimination in material flow analysis using Bayesian optimal experimental design
von: Liao, Jiankan, et al.
Veröffentlicht: (2025)

Investigating Primary Care Indications to Improve Electronic Health Record in Dementia Target Trial Emulation
von: Sunog, Max, et al.
Veröffentlicht: (2025)

Climate data selection for multi-decadal wind power forecasts
von: Morelli, Sofia, et al.
Veröffentlicht: (2024)

Multidimensional latent Markov models in a developmental study of inhibitory control and attentional flexibility in early childhood
von: Bartolucci, Francesco, et al.
Veröffentlicht: (2008)

Identification of changes in gene expression
von: Ameis, Lucia, et al.
Veröffentlicht: (2024)

Evaluating Weather Forecasts from a Decision Maker's Perspective
von: Raeth, Kornelius, et al.
Veröffentlicht: (2025)

Enhancing the statistical evaluation of earthquake forecasts -- An application to Italy
von: Brehmer, Jonas R., et al.
Veröffentlicht: (2024)

Differential Equations and Applications to COVID-19
von: Hounkonnou, Mitonsou Tierry, et al.
Veröffentlicht: (2024)

Adaptation to seasonal reproduction and environment‐associated factors drive temporal and spatial differentiation in northwest Atlantic herring despite gene flow
von: Angela P. Fuentes‐Pardo, et al.
Veröffentlicht: (2024)

Probabilistic forecasting of weather-driven faults in electricity networks: a flexible approach for extreme and non-extreme events
von: Maia, Mateus, et al.
Veröffentlicht: (2026)

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
von: Lacroix, Perrine, et al.
Veröffentlicht: (2021)

Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection
von: Ameis, Lucia, et al.
Veröffentlicht: (2026)

The trade-off between model flexibility and accuracy of the Expected Threat model in football
von: van Arem, Koen W., et al.
Veröffentlicht: (2025)

Grid-level impacts of renewable energy on thermal generation: efficiency, emissions and flexibility
von: Suri, Dhruv, et al.
Veröffentlicht: (2025)

Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions
von: André, Lídia M., et al.
Veröffentlicht: (2025)

How Untested Modeling Assumptions Influence the U.S. EPA's Estimates of Population-Level Ozone Exposure Risk
von: Glasgow, Garrett, et al.
Veröffentlicht: (2025)