[PDF][PDF] Artificial neural networks-a review of applications of neural networks in the modeling of HIV epidemic
W Sibanda, P Pretorius - International Journal of Computer Applications, 2012 - Citeseer
Neural networks have been applied successfully to a broad range of fields such as finance,
data mining, medicine, engineering, geology, physics and biology. In finance, neural …
data mining, medicine, engineering, geology, physics and biology. In finance, neural …
Solid‐state nanopore detection of protein complexes: applications in healthcare and protein kinetics
KJ Freedman, AR Bastian, I Chaiken, MJ Kim - Small, 2013 - Wiley Online Library
Protein conjugation provides a unique look into many biological phenomena and has been
used for decades for molecular recognition purposes. In this study, the use of solid‐state …
used for decades for molecular recognition purposes. In this study, the use of solid‐state …
Challenges of the next decade for the Asia Pacific region: 2010 International Conference in Bioinformatics (InCoB 2010)
The 2010 annual conference of the Asia Pacific Bioinformatics Network (APBioNet), Asia's
oldest bioinformatics organisation formed in 1998, was organized as the 9 th International …
oldest bioinformatics organisation formed in 1998, was organized as the 9 th International …
Intelligent consensus modeling for proline cis-trans isomerization prediction
Proline cis-trans isomerization (CTI) plays a key role in the rate-determining steps of protein
folding. Accurate prediction of proline CTI is of great importance for the understanding of …
folding. Accurate prediction of proline CTI is of great importance for the understanding of …
Randomized subspace learning for proline cis-trans isomerization prediction
Proline residues are common source of kinetic complications during folding. The X-Pro
peptide bond is the only peptide bond for which the stability of the cis and trans …
peptide bond is the only peptide bond for which the stability of the cis and trans …
[PDF][PDF] Progression Modeling of Cognitive Disease Using Temporal Data Mining: Research Landscape, Gaps and Solution Design
V Mangat - core.ac.uk
Dementia is a cognitive disorder whose diagnosis and progression monitoring is very
difficult due to a very slow onset and progression. It is difficult to detect whether cognitive …
difficult due to a very slow onset and progression. It is difficult to detect whether cognitive …
Tree-based consensus model for proline cis-trans isomerization prediction
Proline cis-trans isomerization plays a key role in the rate-determining steps of protein
folding. Accurate prediction of proline cis-trans isomerization is of great importance for the …
folding. Accurate prediction of proline cis-trans isomerization is of great importance for the …
A knowledge-based method for 3-D coronary imaging
A knowledge-based method for the 3-D reconstruction of coronary arteries using biplane
angiography is described. The reconstruction problem was divided into two subproblems:(1) …
angiography is described. The reconstruction problem was divided into two subproblems:(1) …
Prediction of Proline Cis–Trans Isomerization
This chapter introduces a prediction approach that utilizes biophysically motivated intelligent
voting model with a powerful randomized meta‐learning technique through the use of amino …
voting model with a powerful randomized meta‐learning technique through the use of amino …
[PDF][PDF] Randomized Subspace Learning for Proline Cis-‐‑Trans Isomerization Prediction
Randomized Subspace Learning for Proline Cis-‐‑Trans Isomerization Prediction Page 1
1545-5963 (c) 2013 IEEE. Personal use is permitted, but republication/redistribution requires …
1545-5963 (c) 2013 IEEE. Personal use is permitted, but republication/redistribution requires …