N. Afanador

发表

Development and scale-up of rVSV-SARS-CoV-2 vaccine process using single use bioreactor

E. Carey, C. Ton, Victoria Stabile, 2023, Biotechnology Reports.

Interpretation of variable importance in Partial Least Squares with Significance Multivariate Correlation (sMC)

Lutgarde M. C. Buydens, Lionel Blanchet, Nelson Lee Afanador, 2014 .

An assessment of the jackknife and bootstrap procedures on uncertainty estimation in the variable importance in the projection metric

Lutgarde M. C. Buydens, Nelson Lee Afanador, L. Buydens, 2014 .

Variables Impacting Silicone Oil Migration and Biologic Drug Product in Prefilled Syringes

Y. Krishnamachari, Laurence Whitty-Léveillé, Chengbin Huang, 2023, Journal of Pharmaceutical Sciences.

An Integrated Approach for High-Shear Wet Granulation (HSWG) Processing of TPGS-Based Formulations: Demonstration of Process Robustness through Experimental Design Conditions.

S. Sotthivirat, K. Rosenberg, J. Ren, 2021, Journal of pharmaceutical sciences.

Unsupervised random forest: a tutorial with case studies

Agnieszka Smolinska, Lionel Blanchet, Thanh N. Tran, 2016 .

Weight randomization test for the selection of the number of components in PLS models

Lutgarde M. C. Buydens, Lionel Blanchet, Jan Gerretzen, 2017 .

Important variable selection in partial least squares for industrial process understanding and control

N. L. Afanador, N. Afanador, 2014 .

Use of the bootstrap and permutation methods for a more robust variable importance in the projection metric for partial least squares regression.

L. Buydens, L M C Buydens, N L Afanador, 2013, Analytica chimica acta.

Variable importance in PLS in the presence of autocorrelated data — Case studies in manufacturing processes

Lutgarde M. C. Buydens, Lionel Blanchet, Nelson Lee Afanador, 2014 .

Prediction of measles cases in US counties: A machine learning approach.

B. Ru, M. Pawaskar, N. Afanador, 2024, Vaccine.