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For: Deng X, Ali-adeeb R, Andrews JL, Shreeves P, Lum JJ, Brolo A, Jirasek A. Monitor Ionizing Radiation-Induced Cellular Responses with Raman Spectroscopy, Non-Negative Matrix Factorization, and Non-Negative Least Squares. Appl Spectrosc 2020;74:701-11. [DOI: 10.1177/0003702820906221] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
Number Citing Articles
1 Tang JW, Qiao R, Xiong XS, Tang BX, He YW, Yang YY, Ju P, Wen PB, Zhang X, Wang L. Rapid discrimination of glycogen particles originated from different eukaryotic organisms. Int J Biol Macromol 2022:S0141-8130(22)02172-9. [PMID: 36181881 DOI: 10.1016/j.ijbiomac.2022.09.233] [Reference Citation Analysis]
2 Flores E, Ouyang J, Lapointe F, Finnie P. Nanotube abundance from non-negative matrix factorization of Raman spectra as an example of chemical purity from open source machine learning. Sci Rep 2022;12:11666. [PMID: 35803993 DOI: 10.1038/s41598-022-15359-4] [Reference Citation Analysis]
3 Luo SH, Wang WL, Zhou ZF, Xie Y, Ren B, Liu GK, Tian ZQ. Visualization of a Machine Learning Framework toward Highly Sensitive Qualitative Analysis by SERS. Anal Chem 2022. [PMID: 35794045 DOI: 10.1021/acs.analchem.2c01450] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Deng X, Milligan K, Ali-Adeeb R, Shreeves P, Brolo A, Lum JJ, Andrews JL, Jirasek A. Group and Basis Restricted Non-Negative Matrix Factorization and Random Forest for Molecular Histotype Classification and Raman Biomarker Monitoring in Breast Cancer. Appl Spectrosc 2021;:37028211035398. [PMID: 34355582 DOI: 10.1177/00037028211035398] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
5 Roman M, Wrobel TP, Panek A, Paluszkiewicz C, Kwiatek WM. Exploring subcellular responses of prostate cancer cells to clinical doses of X-rays by Raman microspectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2021;255:119653. [DOI: 10.1016/j.saa.2021.119653] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
6 Yakimov BP, Venets AV, Schleusener J, Fadeev VV, Lademann J, Shirshin EA, Darvin ME. Blind source separation of molecular components of the human skin in vivo: non-negative matrix factorization of Raman microspectroscopy data. Analyst 2021;146:3185-96. [PMID: 33999054 DOI: 10.1039/d0an02480e] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 4.5] [Reference Citation Analysis]
7 Milligan K, Deng X, Shreeves P, Ali-Adeeb R, Matthews Q, Brolo A, Lum JJ, Andrews JL, Jirasek A. Raman spectroscopy and group and basis-restricted non negative matrix factorisation identifies radiation induced metabolic changes in human cancer cells. Sci Rep 2021;11:3853. [PMID: 33594122 DOI: 10.1038/s41598-021-83343-5] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
8 Fard Soleimani L, Khanmohammadi Khorrami M, Zandbaaf S, Rezanejade Bardajee G, Noor P, Ghasemi K. Determination of micropore volumes of ZSM-5 zeolite samples by diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy using back-propagation artificial neural network (BP-ANN) and non-negative matrix factorization -alternating least squares (NMF-ALS) as chemometric approaches. Infrared Physics & Technology 2020;111:103543. [DOI: 10.1016/j.infrared.2020.103543] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]