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Results for algorithm performance testing

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12 papers · ranked by Valyu relevance

01
BbioRxiv2 Oct 2020
Parallelized calculation of permutation tests
Markus Ekvall, Michael Höhle, Lukas Käll
Permutation tests offer a straight forward framework to assess the significance of differences in sample statistics. A significant advantage of permutation tests are the relatively few assumptions about the distribution of the test statistic are needed, as they rely on the assumption of exchangeability of the group…
76relevance
02
BbioRxiv26 Apr 2021
Task-independent metrics of computational hardness predict human cognitive performance
Juan P. Franco, Karlo Doroc, Nitin Yadav, Peter Bossaerts + 1 more
The survival of human organisms depends on our ability to solve complex tasks in the face of limited cognitive resources. However, little is known about the factors that drive the complexity of those tasks. Here, building on insights from computational complexity theory, we quantify the computational hardness of…
65relevance
03
BbioRxiv23 Aug 2022
Effective Matrix Designs for COVID-19 Group Testing
David Brust, Johannes J. Brust
Grouping samples with low prevalence of positives into pools and testing these pools can achieve considerable savings in testing resources compared with individual testing in the context of COVID-19. We review published pooling matrices, which encode the assignment of samples into pools and describe decoding…
64relevance
04
BbioRxiv16 Dec 2024
Sensor Fusion Algorithm to Improve Accuracy of Robotic Superposition Testing using 6-DOF Position Sensors
Callan M. Gillespie, Lesley R. Arant, Joshua D. Roth, Robb W. Colbrunn
To quantify the contributions of specific ligaments to overall joint biomechanics, the principle of superposition has been used for nearly 30 years. This principle relies on a robotic test system to move a biological joint to the same pose before and after transecting a ligament. The magnitude of the vector difference…
63relevance
05
BbioRxiv1 Mar 2019
A Novel Ensemble-Based Machine Learning Algorithm To Predict The Conversion From Mild Cognitive Impairment To Alzheimer’s Disease Using Socio-demographic Characteristics, Clinical Information And Neuropsychological Measures
Massimiliano Grassi, Nadine Rouleaux, Daniela Caldirola, David Loewenstein + 3 more
Despite the increasing availability in brain health related data, clinically translatable methods to predict the conversion from Mild Cognitive Impairment (MCI) to Alzheimer’s disease (AD) are still lacking. Although MCI typically precedes AD, only a fraction of 20-40% of MCI individuals will progress to dementia…
63relevance
06
BbioRxiv24 Aug 2020
MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction
Koichi Mori, Haruka Ozaki, Tsukasa Fukunaga
Sequence motifs play essential roles in intermolecular interactions such as DNA-protein interactions. The discovery of novel sequence motifs is therefore crucial for revealing gene functions. Various bioinformatics tools have been developed for finding sequence motifs, but until now there has been no software based on…
62relevance
07
BbioRxiv30 May 2024
Improving the Reliability and Quality of Nextflow Pipelines with nf-test
Lukas Forer, Sebastian Schönherr
The workflow management system Nextflow builds together with the nf-core community an essential ecosystem in Bioinformatics. However, ensuring the correctness and reliability of large and complex pipelines is challenging, since a unified and automated unit-style testing framework specific to Nextflow is still missing.…
62relevance
08
BbioRxiv19 Feb 2016
MetaCycle: an integrated R package to evaluate periodicity in large scale data
Gang Wu, Ron C. Anafi, Michael E. Hughes, Karl Kornacker + 1 more
Detecting periodicity in large scale data remains a challenge. Different algorithms offer strengths and weaknesses in statistical power, sensitivity to outliers, ease of use, and sampling requirements. While efforts have been made to identify best of breed algorithms, relatively little research has gone into…
62relevance
09
BbioRxiv20 Sep 2020
A network algorithm for the X chromosomal exact test for Hardy-Weinberg equilibrium with multiple alleles
Jan Graffelman, Leonardo Ortoleva
Statistical methodology for testing Hardy-Weinberg equilibrium at X chromosomal variants has recently experienced considerable development. Up to a few years ago, testing X chromosomal variants for equilibrium was basically done by applying autosomal test procedures to females only. At present, male alleles can be…
61relevance
10
BbioRxiv5 Jun 2024
Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services
Stephanie L. Servetas, Diane Hoffmann, Jacques Ravel, Scott A. Jackson
Consumer interest in personal microbiome health has given rise to numerous direct-to-consumer (DTC) microbiome testing services despite questions regarding their analytical and clinical validity, and consumer safety. These tests straddle the line between more strictly regulated medical devices and minimally regulated…
54relevance
11
BbioRxiv17 Dec 2019
Use of the *p-value* as a size-dependent function to address practical differences when analyzing large datasets
Estibaliz Gómez-de-Mariscal, Vanesa Guerrero, Alexandra Sneider, Hasini Jayatilaka + 3 more
Biomedical research has come to rely on p-values as a deterministic measure for data-driven decision making. In the largely extended null-hypothesis significance testing (NHST) for identifying statistically significant differences among groups of observations, a single p-value computed from sample data is routinely…
53relevance
12
BbioRxiv16 May 2022
Quantifying rhythmicity in perceptual reports
Tommaso Tosato, Gustavo Rohenkohl, Jarrod Robert Dowdall, Pascal Fries
Several recent studies investigated the rhythmic nature of cognitive processes that lead to perception and behavioral report. These studies used different methods, and there has not yet been an agreement on a general standard. Here, we present a way to test and quantitatively compare these methods. We simulated…
51relevance

Results for algorithm performance testing

Parallelized calculation of permutation tests

Task-independent metrics of computational hardness predict human cognitive performance

Effective Matrix Designs for COVID-19 Group Testing

Sensor Fusion Algorithm to Improve Accuracy of Robotic Superposition Testing using 6-DOF Position Sensors

A Novel Ensemble-Based Machine Learning Algorithm To Predict The Conversion From Mild Cognitive Impairment To Alzheimer’s Disease Using Socio-demographic Characteristics, Clinical Information And Neuropsychological Measures

MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction

Improving the Reliability and Quality of Nextflow Pipelines with nf-test

MetaCycle: an integrated R package to evaluate periodicity in large scale data

A network algorithm for the X chromosomal exact test for Hardy-Weinberg equilibrium with multiple alleles

Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services

Use of the p-value as a size-dependent function to address practical differences when analyzing large datasets

Quantifying rhythmicity in perceptual reports

Parallelized calculation of permutation tests

Task-independent metrics of computational hardness predict human cognitive performance

Effective Matrix Designs for COVID-19 Group Testing

Sensor Fusion Algorithm to Improve Accuracy of Robotic Superposition Testing using 6-DOF Position Sensors

A Novel Ensemble-Based Machine Learning Algorithm To Predict The Conversion From Mild Cognitive Impairment To Alzheimer’s Disease Using Socio-demographic Characteristics, Clinical Information And Neuropsychological Measures

MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction

Improving the Reliability and Quality of Nextflow Pipelines with nf-test

MetaCycle: an integrated R package to evaluate periodicity in large scale data

A network algorithm for the X chromosomal exact test for Hardy-Weinberg equilibrium with multiple alleles

Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services

Use of the p-value as a size-dependent function to address practical differences when analyzing large datasets

Quantifying rhythmicity in perceptual reports

Results for algorithm performance testing

Parallelized calculation of permutation tests

Task-independent metrics of computational hardness predict human cognitive performance

Effective Matrix Designs for COVID-19 Group Testing

Sensor Fusion Algorithm to Improve Accuracy of Robotic Superposition Testing using 6-DOF Position Sensors

A Novel Ensemble-Based Machine Learning Algorithm To Predict The Conversion From Mild Cognitive Impairment To Alzheimer’s Disease Using Socio-demographic Characteristics, Clinical Information And Neuropsychological Measures

MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction

Improving the Reliability and Quality of Nextflow Pipelines with nf-test

MetaCycle: an integrated R package to evaluate periodicity in large scale data

A network algorithm for the X chromosomal exact test for Hardy-Weinberg equilibrium with multiple alleles

Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services

Use of the *p-value* as a size-dependent function to address practical differences when analyzing large datasets

Quantifying rhythmicity in perceptual reports

Parallelized calculation of permutation tests

Task-independent metrics of computational hardness predict human cognitive performance

Effective Matrix Designs for COVID-19 Group Testing

Sensor Fusion Algorithm to Improve Accuracy of Robotic Superposition Testing using 6-DOF Position Sensors

A Novel Ensemble-Based Machine Learning Algorithm To Predict The Conversion From Mild Cognitive Impairment To Alzheimer’s Disease Using Socio-demographic Characteristics, Clinical Information And Neuropsychological Measures

MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction

Improving the Reliability and Quality of Nextflow Pipelines with nf-test

MetaCycle: an integrated R package to evaluate periodicity in large scale data

A network algorithm for the X chromosomal exact test for Hardy-Weinberg equilibrium with multiple alleles

Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services

Use of the *p-value* as a size-dependent function to address practical differences when analyzing large datasets

Quantifying rhythmicity in perceptual reports

Use of the p-value as a size-dependent function to address practical differences when analyzing large datasets

Use of the p-value as a size-dependent function to address practical differences when analyzing large datasets