| P2093 | author name string | Kozo Takayama | |
| | Yasuko Obata | |
| | Yoshinori Onuki | |
| | Akihito Yasuda | |
| P2860 | cites work | Latent structure analysis of the process variables and pharmaceutical responses of an orally disintegrating tablet. | Q51334847 |
| | Modeling of latent structure of indomethacin solid dispersion tablet using Bayesian networks. | Q51554492 |
| | Latent structure analysis in pharmaceutical formulations using Kohonen's self-organizing map and a Bayesian network. | Q51598651 |
| | Reliability assessment for the optimal formulations of pharmaceutical products predicted by a nonlinear response surface method. | Q51829904 |
| | Form follows function: shape analysis of protein cavities for receptor-based drug design. | Q51856456 |
| | Evaluation of the reliability of nonlinear optimal solutions in pharmaceuticals using a bootstrap resampling technique in combination with Kohonen's self-organizing maps. | Q51907196 |
| | Self-organizing map analysis using multivariate data from theophylline tablets predicted by a thin-plate spline interpolation | Q30596234 |
| | Ligand-based combinatorial design of selective purinergic receptor (A2A) antagonists using self-organizing maps | Q30726331 |
| | Self-organizing maps for identification of new inhibitors of P-glycoprotein | Q33277897 |
| | Increasing process understanding by analyzing complex interactions in experimental data | Q33368136 |
| | Self-Organizing Map Analysis Using Multivariate Data from Theophylline Powders Predicted by a Thin-Plate Spline Interpolation | Q33693682 |
| | 1H NMR metabonomics approach to the disease continuum of diabetic complications and premature death | Q36496258 |
| | Metabolic phenotypes, vascular complications, and premature deaths in a population of 4,197 patients with type 1 diabetes | Q36842641 |
| | Pharmaceutical quality by design: product and process development, understanding, and control | Q37054214 |
| | Physical properties and compact analysis of commonly used direct compression binders | Q37360971 |
| | Role of individual test samples in optimal solutions in pharmaceuticals predicted using a nonlinear response surface method | Q43014368 |
| | Phase behavior in a ternary lipid membrane estimated using a nonlinear response surface method and Kohonen's self-organizing map. | Q43206215 |
| | Multivariate statistical approach to optimizing sustained-release tablet formulations containing diltiazem hydrochloride as a model highly water-soluble drug | Q43239452 |
| | Investigating the Effects of Excipients on the Powder Flow Characteristics of Theophylline Anhydrous Powder Formulations | Q44437226 |
| | Visualization of a pharmaceutical unit operation: wet granulation | Q45055273 |
| | Determination of the optimal cell-penetrating peptide sequence for intestinal insulin delivery based on molecular orbital analysis with self-organizing maps | Q45308058 |
| | Classification of substrates and inhibitors of P-glycoprotein using unsupervised machine learning approach. | Q45966404 |
| | Use of self-organizing maps and molecular descriptors to predict the cytotoxic activity of sesquiterpene lactones | Q46711149 |
| P4510 | describes a project that uses | Bayesian network | Q812540 |
| P433 | issue | 7 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | self-organization | Q609408 |
| | self-organizing map | Q1136838 |
| P304 | page(s) | 1148-1155 | |
| P577 | publication date | 2014-07-04 | |
| P1433 | published in | Drug Development and Industrial Pharmacy | Q5308840 |
| P1476 | title | Latent structure modeling underlying theophylline tablet formulations using a Bayesian network based on a self-organizing map clustering. | |
| P478 | volume | 41 | |