Assessment of tissue-specific multifactor effects in environmental -omics studies of heterogeneous biological samples: Combining hyperspectral image information and chemometrics.
暂无分享,去创建一个
Romà Tauler | Demetrio Raldúa | Pablo Loza-Alvarez | Anna de Juan | Víctor Olmos | Mónica Marro | R. Tauler | A. de Juan | P. Loza-Álvarez | B. Piña | M. Marro | V. Olmos | E. Prats | D. Raldúa | Benjamí Piña | Eva Prats
[1] K. Leung,et al. Spectral Interpretation and Qualitative Analysis of Organophosphorus Pesticides Using FT-Raman and FT-Infrared Spectroscopy , 1996 .
[2] Daniel L Villeneuve,et al. Adverse outcome pathways: A conceptual framework to support ecotoxicology research and risk assessment , 2010, Environmental toxicology and chemistry.
[3] Romà Tauler,et al. Chemometrics applied to unravel multicomponent processes and mixtures: Revisiting latest trends in multivariate resolution , 2003 .
[4] Romà Tauler,et al. Evaluation of changes induced in rice metabolome by Cd and Cu exposure using LC-MS with XCMS and MCR-ALS data analysis strategies , 2015, Analytical and Bioanalytical Chemistry.
[5] Henk A. L. Kiers,et al. Simultaneous Components Analysis , 1992 .
[7] P. Fratzl,et al. Simultaneous Raman Microspectroscopy and Fluorescence Imaging of Bone Mineralization in Living Zebrafish Larvae , 2014, Biophysical journal.
[8] Delong Zhang,et al. Coherent Raman Scattering Microscopy in Biology and Medicine. , 2015, Annual review of biomedical engineering.
[9] Carol R Flach,et al. Infrared and Raman imaging spectroscopy of ex vivo skin , 2013, International journal of cosmetic science.
[10] Gene H. Golub,et al. Singular value decomposition and least squares solutions , 1970, Milestones in Matrix Computation.
[11] J. J. Jansen,et al. ASCA: analysis of multivariate data obtained from an experimental design , 2005 .
[12] S. Skoulika,et al. FT-Raman spectroscopy - analytical tool for routine analysis of diazinon pesticide formulations. , 2000, Talanta.
[13] A. Savitzky,et al. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .
[14] Jürgen Popp,et al. The many facets of Raman spectroscopy for biomedical analysis , 2014, Analytical and Bioanalytical Chemistry.
[15] R. Bro. PARAFAC. Tutorial and applications , 1997 .
[16] Romà Tauler,et al. Multiset Data Analysis: Extended Multivariate Curve Resolution , 2020, Comprehensive Chemometrics.
[17] Tao Liu,et al. Determination of Pesticide Residues on the Surface of Fruits Using Micro-Raman Spectroscopy , 2010, CCTA.
[18] P. Eilers. A perfect smoother. , 2003, Analytical chemistry.
[19] Romà Tauler,et al. 1H NMR metabolomic study of auxotrophic starvation in yeast using Multivariate Curve Resolution-Alternating Least Squares for Pathway Analysis , 2016, Scientific Reports.
[20] M. Barker,et al. Partial least squares for discrimination , 2003 .
[21] Romà Tauler,et al. Metabolic profiling of Daphnia magna exposed to environmental stressors by GC–MS and chemometric tools , 2016, Metabolomics.
[22] Jérémie Teyssier,et al. Precise colocalization of interacting structural and pigmentary elements generates extensive color pattern variation in Phelsuma lizards , 2013, BMC Biology.
[23] Brian Everitt,et al. Cluster analysis , 1974 .
[24] S. Wold,et al. PLS-regression: a basic tool of chemometrics , 2001 .
[25] Romà Tauler,et al. Combining hyperspectral imaging and chemometrics to assess and interpret the effects of environmental stressors on zebrafish eye images at tissue level , 2018, Journal of biophotonics.
[26] R. Sanz-Pamplona,et al. Molecular monitoring of epithelial-to-mesenchymal transition in breast cancer cells by means of Raman spectroscopy. , 2014, Biochimica et biophysica acta.
[27] Luisa Orsini,et al. Daphnia magna transcriptome by RNA-Seq across 12 environmental stressors , 2016, Scientific Data.
[28] R. Ferrari,et al. Metabolomic and proteomic investigations of impacts of titanium dioxide nanoparticles on Escherichia coli , 2017, PloS one.
[29] P. Sopp. Cluster analysis. , 1996, Veterinary immunology and immunopathology.
[30] Pablo Villoslada,et al. Dynamic molecular monitoring of retina inflammation by in vivo Raman spectroscopy coupled with multivariate analysis , 2014, Journal of biophotonics.
[31] Haishan Zeng,et al. Raman spectroscopy of in vivo cutaneous melanin. , 2004, Journal of biomedical optics.
[32] A. Talari,et al. Raman Spectroscopy of Biological Tissues , 2007 .
[33] J. Mansfield,et al. Infrared and Raman imaging of biological and biomimetic samples , 2000, Fresenius' journal of analytical chemistry.
[34] Carlos Barata,et al. Ecological relevance of biomarkers in monitoring studies of macro-invertebrates and fish in Mediterranean rivers. , 2016, The Science of the total environment.
[35] Seungjin Choi,et al. Independent Component Analysis , 2009, Handbook of Natural Computing.
[36] S. Piqueras,et al. Chemometric Tools for Image Analysis , 2014 .
[37] Romà Tauler,et al. Vibrational spectroscopic image analysis of biological material using multivariate curve resolution–alternating least squares (MCR-ALS) , 2015, Nature Protocols.
[38] Romà Tauler,et al. Relevant aspects of unmixing/resolution analysis for the interpretation of biological vibrational hyperspectral images , 2017 .
[39] Romà Tauler,et al. Perfluoroalkylated Substance Effects in Xenopus laevis A6 Kidney Epithelial Cells Determined by ATR-FTIR Spectroscopy and Chemometric Analysis , 2016, Chemical research in toxicology.
[40] Age K. Smilde,et al. Multilevel component analysis of time-resolved metabolic fingerprinting data , 2005 .
[41] Demetrio Raldúa,et al. Zebrafish Models for Human Acute Organophosphorus Poisoning , 2015, Scientific Reports.
[42] P. Paatero,et al. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .
[43] Romà Tauler,et al. Analysis of multiple mass spectrometry images from different Phaseolus vulgaris samples by multivariate curve resolution. , 2017, Talanta.
[44] C. Martyniuk,et al. Exposure to Deepwater Horizon oil and Corexit 9500 at low concentrations induces transcriptional changes and alters immune transcriptional pathways in sheepshead minnows. , 2017, Comparative biochemistry and physiology. Part D, Genomics & proteomics.
[45] W. Windig,et al. Interactive self-modeling mixture analysis , 1991 .
[46] R. Spang,et al. State-of-the art data normalization methods improve NMR-based metabolomic analysis , 2011, Metabolomics.
[47] C. Tyler,et al. Information to : Ecotoxicological assessment of nanoparticle-containing acrylic copolymer dispersions in fairy shrimp and zebrafish embryos , 2017 .
[48] R Tauler,et al. Resolution and segmentation of hyperspectral biomedical images by multivariate curve resolution-alternating least squares. , 2011, Analytica chimica acta.
[49] J Popp,et al. Combining multiset resolution and segmentation for hyperspectral image analysis of biological tissues. , 2015, Analytica chimica acta.
[50] Age K. Smilde,et al. Statistical validation of megavariate effects in ASCA , 2007, BMC Bioinformatics.
[51] Age K. Smilde,et al. ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data , 2005, Bioinform..
[52] Romà Tauler,et al. Phenotypic malignant changes and untargeted lipidomic analysis of long-term exposed prostate cancer cells to endocrine disruptors. , 2015, Environmental research.
[53] A. Singer. Spectral independent component analysis , 2006 .
[54] Romà Tauler,et al. MCR-ALS GUI 2.0: New features and applications , 2015 .