| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bioinformatics/TrevisanASCM13 |
| P356 | DOI | 10.1093/BIOINFORMATICS/BTT084 |
| P953 | full work available at URL | https://academic.oup.com/bioinformatics/article-pdf/29/8/1095/48898827/bioinformatics_29_8_1095.pdf |
| P698 | PubMed publication ID | 23422340 |
| P5875 | ResearchGate publication ID | 235668788 |
| P50 | author | Francis L Martin | Q38545061 |
| Plamen Angelov | Q29265564 | ||
| P2093 | author name string | Júlio Trevisan | |
| Paul L. Carmichael | |||
| Andrew D. Scott | |||
| P2860 | cites work | Creating robust, reliable, clinically relevant classifiers from spectroscopic data | Q33639604 |
| Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives. | Q38013035 | ||
| Near-optimal region selection for feature space reduction: novel preprocessing methods for classifying MR spectra | Q48404557 | ||
| Syrian hamster embryo (SHE) assay (pH 6.7) coupled with infrared spectroscopy and chemometrics towards toxicological assessment | Q51771395 | ||
| Concentration-dependent effects of carbon nanoparticles in gram-negative bacteria determined by infrared spectroscopy with multivariate analysis | Q57158012 | ||
| Distinguishing cell types or populations based on the computational analysis of their infrared spectra | Q58414882 | ||
| Combining Pattern Classifiers | Q108748323 | ||
| Quality control and peak finding for proteomics data collected from nipple aspirate fluid by surface-enhanced laser desorption and ionization | Q30880099 | ||
| P433 | issue | 8 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | data analysis | Q1988917 |
| software | Q7397 | ||
| open-source software | Q1130645 | ||
| P304 | page(s) | 1095-1097 | |
| P577 | publication date | 2013-02-19 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis | |
| P478 | volume | 29 |
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