Chemometric Methods for Studying the Relationships Between Trace Elements in Laryngeal Cancer and Healthy Tissues

Dobrowolski, Ryszard; Klatka, Janusz; Brodnjak-Vončina, Darinka; Trojanowska, Agnieszka; Myśliwiec, Dawid; Ostrowski, J.L.; Remer, Marek

doi:10.1007/s12011-014-0013-9

Cited by 13 publications

(8 citation statements)

References 20 publications

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“…As can be seen from the existing literature, multivariate methods, also known as chemometrics, are frequently used in the analysis of elemental data especially in the field of life sciences [24,[33][34][35][36][37][38][39][40][41]. For example, hierarchical cluster analysis was successfully applied for the prediction of cancerrelated Cu-binding proteins, which can serve as a source for mechanistic-molecular studies of Cu-dependent processes in cancer [42].…”

Section: Discussionmentioning

confidence: 99%

Organ Metallome Processed with Chemometric Methods Enable the Determination of Elements that May Serve as Markers of Exposure to Iron Oxide Nanoparticles in Male Rats

Rugieł

Dróżdż

Matusiak

et al. 2020

Biol Trace Elem Res

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The systemic influence of iron oxide nanoparticles on the elemental homeostasis of key organs was examined in male rats. In tissues taken at different intervals from nanoparticles injection, the dynamics of elemental changes was analyzed. The organ metallome was studied using total reflection X-ray fluorescence. The obtained data were processed with advanced cluster and discriminant analyses-to classify the tissues according to their organs of origin and to distinguish accurately the nanoparticletreated and normal rats. Additionally, in the case of liver and heart, it was possible to determine the elements of highest significance for different treatments, which may serve as markers of exposure to iron oxide nanoparticles.

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Section: Discussionmentioning

confidence: 99%

Organ Metallome Processed with Chemometric Methods Enable the Determination of Elements that May Serve as Markers of Exposure to Iron Oxide Nanoparticles in Male Rats

Rugieł

Dróżdż

Matusiak

et al. 2020

Biol Trace Elem Res

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“…Chemometrics describes the extraction of information from large datasets, using particular data‐driven methods . These methods are well suited for large and complex datasets and can include machine learning . In machine learning, computer algorithms are used to automatically improve their performance through experience .…”

Section: Methodsmentioning

confidence: 99%

Pulmonary vasculature in dogs assessed by three‐dimensional fractal analysis and chemometrics

Müller

Marschner

Kristensen

et al. 2017

Vet Radiology Ultrasound

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Fractal analysis of canine pulmonary vessels could allow quantification of their space-filling properties. Aims of this prospective, analytical, cross-sectional study were to describe methods for reconstructing three dimensional pulmonary arterial vascular trees from computed tomographic pulmonary angiogram, applying fractal analyses of these vascular trees in dogs with and without diseases that are known to predispose to thromboembolism, and testing the hypothesis that diseased dogs would have a different fractal dimension than healthy dogs. A total of 34 dogs were sampled. Based on computed tomographic pulmonary angiograms findings, dogs were divided in three groups: diseased with pulmonary thromboembolism (n = 7), diseased but without pulmonary thromboembolism (n = 21), and healthy (n = 6). An observer who was aware of group status created three-dimensional pulmonary artery vascular trees for each dog using a semiautomated segmentation technique. Vascular three-dimensional reconstructions were then evaluated using fractal analysis. Fractal dimensions were analyzed, by group, using analysis of variance and principal component analysis. Fractal dimensions were significantly different among the three groups taken together (P = 0.001), but not between the diseased dogs alone (P = 0.203). The principal component analysis showed a tendency of separation between healthy control and diseased groups, but not between groups of dogs with and without pulmonary thromboembolism. Findings indicated that computed tomographic pulmonary angiogram images can be used to reconstruct three-dimensional pulmonary arterial vascular trees in dogs and that fractal analysis of these three-dimensional vascular trees is a feasible method for quantifying the spatial relationships of pulmonary arteries. These methods could be applied in further research studies on pulmonary and vascular diseases in dogs.

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“…LDA is a multivariate and supervised statistical tool that separates groups/classes by finding linear discriminants that maximize the ratio of between-class variance and minimizes the ratio of variance within class (Dobrowolski et al 2014). Unlike PCA, LDA data is pre-categorized into classes were it is trained to separate species according to class (Dobrowolski et al 2014). Figure 2.13 represents LDA generated group clusters.…”

Section: Linear Discriminant Analysis (Lda)mentioning

confidence: 99%

“…Figure2.12: Example of an LDA plot which shows distinguishable group clusters of H (blue) and S (red)(Dobrowolski et al 2014) …”

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confidence: 99%

NMR Metabonomics in an In Vitro Model of HIV-1 Latency

Nonodi,

Meyer

2014

AIDS Research and Human Retroviruses

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I, Thato Nonodi, declare that the thesis/dissertation, which I hereby submit for the degree Magister Scientiae in the Department of Biochemistry, at the University of Pretoria, is my own work and has not previously been submitted by me for a degree at this or any other tertiary institution. SIGNATURE:…………………………………. DATE……09 December 2015……………………………………… © © U Un ni iv ve er rs si it ty y o of f P Pr re et to or ri ia a © © U Un ni iv ve er rs si it ty y o of f P Pr re et to or ri ia a I would like to acknowledge the following people and organisations for their contribution towards the success of this dissertation. I am very sincerely grateful.  To my Supervisor Prof. D Meyer, I thank you for your supervision, guidance and patience throughout the course of carrying out this research and writing this dissertation  To the funders, Technology Innovation Agency (TIA) and the National Research Foundation (NRF) thank you for providing the financial support needed to complete this dissertation  To the staff, colleagues and friends, I appreciate the time I have spent with you and your words of comfort and encouragement I received from you  To the Department of Chemistry (Dr. L Pilcher and Mr. E Palmer) and Prof. D Steffens from the Department of Statistics, the knowledge and assistance you have provided me was indeed invaluable for this research, thank you  To my family, words cannot express my gratitude and the love I have for you. Thank you for your love, support and encouragement you have given me and still continue to give me. May the Almighty God bless you all always! Mazo sugar!!  Most importantly, I would like to give thanks and praise to the Lord Jesus Christ for the constant hope and motivation. His love, He has placed in me.You are a mighty and wonderful God. Amen.

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Chemometric Methods for Studying the Relationships Between Trace Elements in Laryngeal Cancer and Healthy Tissues

Cited by 13 publications

References 20 publications

Organ Metallome Processed with Chemometric Methods Enable the Determination of Elements that May Serve as Markers of Exposure to Iron Oxide Nanoparticles in Male Rats

Organ Metallome Processed with Chemometric Methods Enable the Determination of Elements that May Serve as Markers of Exposure to Iron Oxide Nanoparticles in Male Rats

Pulmonary vasculature in dogs assessed by three‐dimensional fractal analysis and chemometrics

NMR Metabonomics in an In Vitro Model of HIV-1 Latency

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