Results 11 to 20 of about 4,193,923 (352)

MicrobiomeAnalyst 2.0: comprehensive statistical, functional and integrative analysis of microbiome data

open access: yesNucleic Acids Res., 2023
Microbiome studies have become routine in biomedical, agricultural and environmental sciences with diverse aims, including diversity profiling, functional characterization, and translational applications. The resulting complex, often multi-omics datasets
Yao Lu   +5 more
semanticscholar   +1 more source

Transparency considerations for describing statistical analyses in research [PDF]

open access: yesKorean Journal of Anesthesiology, 2021
Researchers who use the results of statistical analyses to draw conclusions about collected data must write a statistical analysis section in their manuscript. Describing statistical analyses in precise detail is as important as presenting the dosages of
Sang Kyu Kwak, Jonghae Kim
doaj   +1 more source

Statistical significance or clinical significance? A researcher's dilemma for appropriate interpretation of research results

open access: yesSaudi Journal of Anaesthesia, 2021
It is incredibly essential that the current clinicians and researchers remain updated with findings of current biomedical literature for evidence-based medicine.
Hunny Sharma
semanticscholar   +1 more source

Fisher’s significance test: A gentle introduction

open access: yesGMS Medizinische Informatik, Biometrie und Epidemiologie, 2020
The p-value is often misunderstood and, for example, misinterpreted as a probability for the correctness of the null hypothesis. The aim of this article is to first explain the definition of the p-value.
Stang, Andreas, Kowall, Bernd
doaj   +1 more source

Frontalis Transfer and Closed Silicone Rod Frontalis Suspension [PDF]

open access: yesArchives of Aesthetic Plastic Surgery, 2016
Background Improvements in the degree of marginal reflex distance 1 (MRD1) were compared before and after use of the frontalis transfer (FT) method and closed silicone rod frontalis suspension surgery (SS) for severe blepharoptosis under general or local
Yong Jig Lee, David Dae Hwan Park
doaj   +1 more source

Artificial intelligence in the GPs office: a retrospective study on diagnostic accuracy

open access: yesScandinavian Journal of Primary Health Care, 2021
Objective Machine learning (ML) is expected to play an increasing role within primary health care (PHC) in coming years. No peer-reviewed studies exist that evaluate the diagnostic accuracy of ML models compared to general practitioners (GPs). The aim of
Steindor Ellertsson   +2 more
doaj   +1 more source

BIOMEX: an interactive workflow for (single cell) omics data interpretation and visualization

open access: yesNucleic Acids Res., 2020
The amount of biological data, generated with (single cell) omics technologies, is rapidly increasing, thereby exacerbating bottlenecks in the data analysis and interpretation of omics experiments.
Federico Taverna   +10 more
semanticscholar   +1 more source

Networks and Graphs Discovery in Metabolomics Data Analysis and Interpretation

open access: yesFrontiers in Molecular Biosciences, 2022
Both targeted and untargeted mass spectrometry-based metabolomics approaches are used to understand the metabolic processes taking place in various organisms, from prokaryotes, plants, fungi to animals and humans. Untargeted approaches allow to detect as
A. Amara   +9 more
semanticscholar   +1 more source

Big Data Analysis Using Modern Statistical and Machine Learning Methods in Medicine [PDF]

open access: yesInternational Neurourology Journal, 2014
In this article we introduce modern statistical machine learning and bioinformatics approaches that have been used in learning statistical relationships from big data in medicine and behavioral science that typically include clinical, genomic (and ...
Changwon Yoo, Luis Ramirez, Juan Liuzzi
doaj   +1 more source

New Interpretable Statistics for Large Scale Structure Analysis and Generation [PDF]

open access: yesPhys. Rev. D 102, 103506 (2020), 2020
We introduce Wavelet Phase Harmonics (WPH) statistics: interpretable low-dimensional statistics that describe 2D non-Gaussian fields. These statistics are built from WPH moments, which were recently introduced in the data science and machine learning community.
arxiv   +1 more source

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