Empirical single sample quantification of bias and variance in Q‐ball imaging
Sign Up to like & getrecommendations! Published in 2018 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27115
Abstract: The bias and variance of high angular resolution diffusion imaging methods have not been thoroughly explored in the literature and may benefit from the simulation extrapolation (SIMEX) and bootstrap techniques to estimate bias and variance… read more here.
Keywords: bias variance; empirical single; single sample; sample quantification ... See more keywords
Single sample preparation for brominated flame retardants in fish and shellfish with dual detection: GC-MS/MS (PBDEs) and LC-MS/MS (HBCDs)
Sign Up to like & getrecommendations! Published in 2019 at "Analytical and Bioanalytical Chemistry"
DOI: 10.1007/s00216-019-02250-x
Abstract: An analytical method for the simultaneous determination of polybrominated diphenyl ethers (PBDEs) and hexabromocyclododecanes (HBCDs) in fish, shellfish and muscle of terrestrial animals was developed as an extension of a previously validated method for PBDE… read more here.
Keywords: pbdes hbcds; sample preparation; single sample; fish shellfish ... See more keywords
Open-set single-sample face recognition in video surveillance using fuzzy ARTMAP
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3649-0
Abstract: Single-sample face recognition has been investigated by a few researches over the past few decades. However, due to the demand of identity of interest searching from video surveillance in recent years, this system has been… read more here.
Keywords: sample; video surveillance; single sample; face recognition ... See more keywords
Single sample sequencing (S3EQ) of epigenome and transcriptome in nucleus accumbens
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2018.07.006
Abstract: BACKGROUND High-throughput sequencing has been widely applied to uncover the molecular mechanisms underlying neurological and psychiatric disorders. The large body of data support the role of epigenetic mechanisms in neurological function of both human and… read more here.
Keywords: sample; rna; single sample; rna seq ... See more keywords
A comparison of four-sample slope–intercept and single-sample 51Cr-EDTA glomerular filtration rate measurements
Sign Up to like & getrecommendations! Published in 2018 at "Nuclear Medicine Communications"
DOI: 10.1097/mnm.0000000000000815
Abstract: The aim of this study was to verify, with a large dataset of 1394 51Cr-EDTA glomerular filtration rate (GFR) studies, the equivalence of slope–intercept and single-sample GFR. Raw data from 1394 patient studies were used… read more here.
Keywords: sample; sample gfr; single sample; slope intercept ... See more keywords
Local robust sparse representation for face recognition with single sample per person
Sign Up to like & getrecommendations! Published in 2018 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2017.7510658
Abstract: The purpose of this paper is to solve the problem of robust face recognition U+0028 FR U+0029 with single sample per person U+0028 SSPP U+0029. In the scenario of FR with SSPP, we present a… read more here.
Keywords: sparse; sparse representation; single sample; sample per ... See more keywords
Single sample scoring of molecular phenotypes
Sign Up to like & getrecommendations! Published in 2018 at "BMC Bioinformatics"
DOI: 10.1186/s12859-018-2435-4
Abstract: BackgroundGene set scoring provides a useful approach for quantifying concordance between sample transcriptomes and selected molecular signatures. Most methods use information from all samples to score an individual sample, leading to unstable scores in small… read more here.
Keywords: sample; data sets; method; single sample ... See more keywords
Single Sample Discriminant Analysis Based on Gabor Transform
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380329
Abstract: To solve the small sample problem of biometric identification, this paper investigates the limiting case of the problem, i.e., the recognition of a single training sample, and proposes a single sample discriminant analysis method based… read more here.
Keywords: sample; analysis; fusion; single sample ... See more keywords
Evaluation of Pathway Activation for a Single Sample Toward Inflammatory Bowel Disease Classification
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2019.01401
Abstract: Since similar complex diseases are much alike in clinical symptoms, patients are easily misdiagnosed and mistreated. It is crucial to accurately predict the disease status and identify markers with high sensitivity and specificity for classifying… read more here.
Keywords: sample; pathway activation; activation single; disease ... See more keywords
Predict ovarian cancer by pairing serum miRNAs: Construct of single sample classifiers
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.923275
Abstract: Objective The accuracy of CA125 or clinical examination in ovarian cancer (OVC) screening is still facing challenges. Serum miRNAs have been considered as promising biomarkers for clinical applications. Here, we propose a single sample classifier… read more here.
Keywords: serum mirnas; ovarian cancer; single sample; non cancer ... See more keywords
Two in One: Diagnosing Type 2 Diabetes With Single-Sample Testing
Sign Up to like & getrecommendations! Published in 2018 at "Annals of Internal Medicine"
DOI: 10.7326/m18-1477
Abstract: The accuracy of type 2 diabetes diagnosis is important for optimal clinical care. Expert bodies, including the American Diabetes Association and the World Health Organization, recommend basing the diagnosis on 1 of 3 measures of… read more here.
Keywords: diagnosis; glucose hba1c; fasting glucose; level ... See more keywords