| 1 |
Application of a computational neural network to optimize the fluorescence signal from a receptor-ligand interaction on a microfluidic chip
Ortega M, Hanrahan G, Arceo M, Gomez FA
Electrophoresis, 36(3), 393, 2015 |
| 2 |
Implementation of a genetically tuned neural platform in optimizing fluorescence from receptor-ligand binding interactions on microchips
Alvarado J, Hanrahan G, Nguyen HTH, Gomez FA
Electrophoresis, 33(17), 2711, 2012 |
| 3 |
Identification of Bacteria by Conjugated Oligoelectrolyte/Single-Stranded DNA Electrostatic Complexes
Duarte A, Chworos A, Flagan SF, Hanrahan G, Bazan GC
Journal of the American Chemical Society, 132(36), 12562, 2010 |
| 4 |
Application of artificial neural networks in the prediction of product distribution in electrophoretically mediated microanalysis
Ann T, Porcasi L, Muliadi S, Hanrahan G, Gomez FA
Electrophoresis, 30(13), 2385, 2009 |
| 5 |
Chemical Engineering Communications special issue: Design and development of novel analytical devices and related applications
Hanrahan G
Chemical Engineering Communications, 195(2), 81, 2008 |
| 6 |
Response surface examination of the relationship between experimental conditions and product distribution in electrophoretically mediated microanalysis
Montes RE, Gomez FA, Hanrahan G
Electrophoresis, 29(2), 375, 2008 |
| 7 |
Use of chemometric methodology in optimizing conditions for competitive binding partial filling affinity capillary electrophoresis
Montes RE, Hanrahan G, Gomez FA
Electrophoresis, 29(16), 3325, 2008 |
| 8 |
Chemometrical examination of active parameters and interactions in flow injection-capillary electrophoresis
Dahdouh FT, Clarke K, Salgado M, Hanrahan G, Gomez FA
Electrophoresis, 29(18), 3779, 2008 |
| 9 |
Implementation of chemometric methodology in ACE: Predictive investigation of protein-ligand binding
Hanrahan G, Montes RE, Pao A, Johnson A, Gomez FA
Electrophoresis, 28(16), 2853, 2007 |
