BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 33295130)

  • 21. FTIR microscopy of biological cells and tissue: data analysis using resonant Mie scattering (RMieS) EMSC algorithm.
    Bassan P; Sachdeva A; Kohler A; Hughes C; Henderson A; Boyle J; Shanks JH; Brown M; Clarke NW; Gardner P
    Analyst; 2012 Mar; 137(6):1370-7. PubMed ID: 22318917
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Post-mortem evaluation of the pathological degree of myocardial infarction by Fourier transform infrared microspectroscopy.
    Lin H; Wang Z; Luo Y; Sun Q; Shen Y; Huang P
    Spectrochim Acta A Mol Biomol Spectrosc; 2022 Mar; 268():120630. PubMed ID: 34815176
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Fourier transform infrared spectrum pre-processing technique selection for detecting PYLCV-infected chilli plants.
    Agustika DK; Mercuriani I; Purnomo CW; Hartono S; Triyana K; Iliescu DD; Leeson MS
    Spectrochim Acta A Mol Biomol Spectrosc; 2022 Oct; 278():121339. PubMed ID: 35537256
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms.
    Wu X; Shuai W; Chen C; Chen X; Luo C; Chen Y; Shi Y; Li Z; Lv X; Chen C; Meng X; Lei X; Wu L
    Front Immunol; 2023; 14():1328228. PubMed ID: 38162641
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identification of Propionibacteria to the species level using Fourier transform infrared spectroscopy and artificial neural networks.
    Dziuba B
    Pol J Vet Sci; 2013; 16(2):351-7. PubMed ID: 23971204
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep Learning for Reconstructing Low-Quality FTIR and Raman Spectra─A Case Study in Microplastic Analyses.
    Brandt J; Mattsson K; Hassellöv M
    Anal Chem; 2021 Dec; 93(49):16360-16368. PubMed ID: 34807556
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectral prediction of postmortem interval from vitreous humor samples.
    Zhang J; Wei X; Huang J; Lin H; Deng K; Li Z; Shao Y; Zou D; Chen Y; Huang P; Wang Z
    Anal Bioanal Chem; 2018 Nov; 410(29):7611-7620. PubMed ID: 30349991
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Breed of goat affects the prediction accuracy of milk coagulation properties using Fourier-transform infrared spectroscopy.
    Stocco G; Dadousis C; Vacca GM; Pazzola M; Paschino P; Dettori ML; Ferragina A; Cipolat-Gotet C
    J Dairy Sci; 2021 Apr; 104(4):3956-3969. PubMed ID: 33612240
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Towards developing a protein infrared spectra databank (PISD) for proteomics research.
    Hering JA; Innocent PR; Haris PI
    Proteomics; 2004 Aug; 4(8):2310-9. PubMed ID: 15274125
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Recurrent neural networks for time domain modelling of FTIR spectra: application to brain tumour detection.
    Antoniou G; Conn JJA; Smith BR; Brennan PM; Baker MJ; Palmer DS
    Analyst; 2023 Apr; 148(8):1770-1776. PubMed ID: 36967685
    [TBL] [Abstract][Full Text] [Related]  

  • 31. An open-source code for Mie extinction extended multiplicative signal correction for infrared microscopy spectra of cells and tissues.
    Solheim JH; Gunko E; Petersen D; Großerüschkamp F; Gerwert K; Kohler A
    J Biophotonics; 2019 Aug; 12(8):e201800415. PubMed ID: 30793501
    [TBL] [Abstract][Full Text] [Related]  

  • 32. FTIR bio-spectroscopy scattering correction using natural biological characteristics of different cell lines.
    Hariri S; Barzegari B S; Keshavarz F K; Nikounezhad N; Safaei B; Farnam G; Shirazi FH
    Analyst; 2019 Sep; 144(19):5810-5828. PubMed ID: 31469152
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Bayesian regression models outperform partial least squares methods for predicting milk components and technological properties using infrared spectral data.
    Ferragina A; de los Campos G; Vazquez AI; Cecchinato A; Bittante G
    J Dairy Sci; 2015 Nov; 98(11):8133-51. PubMed ID: 26387015
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A novel procedure for strain classification of fungal mycelium by cluster and artificial neural network analysis of Fourier transform infrared (FTIR) spectra.
    Naumann A
    Analyst; 2009 Jun; 134(6):1215-23. PubMed ID: 19475151
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Novel, fourier filtering method that reuses interference-patterned spectra to extend the calibration set for thickness determination.
    Jeszenszky E; Kocsányi L; Barócsi A; Richter P
    Appl Spectrosc; 2006 Feb; 60(2):162-7. PubMed ID: 16542567
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Genetic analysis of the Fourier-transform infrared spectra of bovine milk with emphasis on individual wavelengths related to specific chemical bonds.
    Bittante G; Cecchinato A
    J Dairy Sci; 2013 Sep; 96(9):5991-6006. PubMed ID: 23810593
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Reliable and rapid identification of Listeria monocytogenes and Listeria species by artificial neural network-based Fourier transform infrared spectroscopy.
    Rebuffo CA; Schmitt J; Wenning M; von Stetten F; Scherer S
    Appl Environ Microbiol; 2006 Feb; 72(2):994-1000. PubMed ID: 16461640
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Recovery of absorption spectra from Fourier transform infrared (FT-IR) microspectroscopic measurements of intact spheres.
    van Dijk T; Mayerich D; Carney PS; Bhargava R
    Appl Spectrosc; 2013 May; 67(5):546-52. PubMed ID: 23643044
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Infrared Spectral Characteristics of Electrical Injuries on Swine Skin Caused by Different Voltages Based on Machine Learning Algorithms.
    Dong HW; Li W; Li SY; Deng KF; Cao N; Luo YW; Sun QR; Lin HC; Huang JF; Liu NG; Huang P
    Fa Yi Xue Za Zhi; 2018 Jun; 34(6):619-624. PubMed ID: 30896099
    [TBL] [Abstract][Full Text] [Related]  

  • 40. FTIR-based spectrum of salivary exosomes coupled with computational-aided discriminating analysis in the diagnosis of oral cancer.
    Zlotogorski-Hurvitz A; Dekel BZ; Malonek D; Yahalom R; Vered M
    J Cancer Res Clin Oncol; 2019 Mar; 145(3):685-694. PubMed ID: 30603907
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.