Identifying variables responsible for clustering in discriminant analysis of data from infrared microspectroscopy of a biological sample.
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Low-dose carbon-based nanoparticle-induced effects in A549 lung cells determined by biospectroscopy are associated with increases in genomic methylationPerfluoroalkylated Substance Effects in Xenopus laevis A6 Kidney Epithelial Cells Determined by ATR-FTIR Spectroscopy and Chemometric AnalysisInfrared spectroscopy with multivariate analysis to interrogate endometrial tissue: a novel and objective diagnostic approach.An exometabolomics approach to monitoring microbial contamination in microalgal fermentation processes by using metabolic footprint analysisHistology verification demonstrates that biospectroscopy analysis of cervical cytology identifies underlying disease more accurately than conventional screening: removing the confounder of discordance.Diet-sourced carbon-based nanoparticles induce lipid alterations in tissues of zebrafish (Danio rerio) with genomic hypermethylation changes in brain.Optical spectroscopy for noninvasive monitoring of stem cell differentiation.Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives.Exploiting biospectroscopy as a novel screening tool for cervical cancer: towards a framework to validate its accuracy in a routine clinical setting.MIR-biospectroscopy coupled with chemometrics in cancer studies.Sublethal genotoxicity and cell alterations by organophosphorus pesticides in MCF-7 cells: implications for environmentally relevant concentrations.Feature driven classification of Raman spectra for real-time spectral brain tumour diagnosis using sound.FTIR Microspectroscopy Coupled with Two-Class Discrimination Segregates Markers Responsible for Inter- and Intra-Category Variance in Exfoliative Cervical Cytology.Isolating stem cells in the inter-follicular epidermis employing synchrotron radiation-based Fourier-transform infrared microspectroscopy and focal plane array imaging.Understanding the antimicrobial activity of selected disinfectants against methicillin-resistant Staphylococcus aureus (MRSA).Measuring similarity and improving stability in biomarker identification methods applied to Fourier-transform infrared (FTIR) spectroscopy.Mid-infrared spectroscopic assessment of nanotoxicity in gram-negative vs. gram-positive bacteria.Understanding the molecular information contained in principal component analysis of vibrational spectra of biological systems.Characterisation of DNA methylation status using spectroscopy (mid-IR versus Raman) with multivariate analysis.Retinal oxidative stress at the onset of diabetes determined by synchrotron FTIR widefield imaging: towards diabetes pathogenesis.Spectrochemical analyses of growth phase-related bacterial responses to low (environmentally-relevant) concentrations of tetracycline and nanoparticulate silver.Vibrational biospectroscopy coupled with multivariate analysis extracts potentially diagnostic features in blood plasma/serum of ovarian cancer patients.In vivo diagnosis of cervical precancer using Raman spectroscopy and genetic algorithm techniques.Distinguishing cell types or populations based on the computational analysis of their infrared spectra
P2860
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P2860
Identifying variables responsible for clustering in discriminant analysis of data from infrared microspectroscopy of a biological sample.
description
2007 nî lūn-bûn
@nan
2007 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Identifying variables responsi ...... oscopy of a biological sample.
@ast
Identifying variables responsi ...... oscopy of a biological sample.
@en
type
label
Identifying variables responsi ...... oscopy of a biological sample.
@ast
Identifying variables responsi ...... oscopy of a biological sample.
@en
prefLabel
Identifying variables responsi ...... oscopy of a biological sample.
@ast
Identifying variables responsi ...... oscopy of a biological sample.
@en
P2093
P50
P356
P1476
Identifying variables responsi ...... oscopy of a biological sample.
@en
P2093
Hubert M Pollock
Narasimhan Ragavan
Thomas Fearn
P304
P356
10.1089/CMB.2007.0057
P577
2007-11-01T00:00:00Z