Harnessing the complexity of metabolomic data with chemometrics.
- Published in:
- Journal of Chemometrics, 2014, v. 28, n. 1, p. v, doi. 10.1002/cem.2572
- By:
- Publication type:
- Article
Works matching IS 08869383 AND DT 2014 AND VI 28 AND IP 1
Results: 8
1
2
Wavelet-based self-organizing maps for classifying multivariate time series.
- Published in:
- Journal of Chemometrics, 2014, v. 28, n. 1, p. 28, doi. 10.1002/cem.2565
- By:
- Publication type:
- Article
3
Cover Image.
- Published in:
- Journal of Chemometrics, 2014, v. 28, n. 1, p. iv, doi. 10.1002/cem.2571
- Publication type:
- Article
4
3D CoMFA, CoMSIA, topomer CoMFA and HQSAR studies on aromatic acid esters for carbonic anhydrase inhibitory activity.
- Published in:
- Journal of Chemometrics, 2014, v. 28, n. 1, p. 60, doi. 10.1002/cem.2574
- By:
- Publication type:
- Article
5
Harnessing the complexity of metabolomic data with chemometrics.
- Published in:
- Journal of Chemometrics, 2014, v. 28, n. 1, p. 1, doi. 10.1002/cem.2567
- By:
- Publication type:
- Article
6
Bilinear modeling of batch processes. Part III: parameter stability.
- Published in:
- Journal of Chemometrics, 2014, v. 28, n. 1, p. 10, doi. 10.1002/cem.2562
- By:
- Publication type:
- Article
7
Bayesian predictive modeling and comparison of oil samples.
- Published in:
- Journal of Chemometrics, 2014, v. 28, n. 1, p. 52, doi. 10.1002/cem.2566
- By:
- Publication type:
- Article
8
Issue Information.
- Published in:
- Journal of Chemometrics, 2014, v. 28, n. 1, p. i, doi. 10.1002/cem.2537
- Publication type:
- Article