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Browsing by Author "Sun, Yi."
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Adaptive Electrical Signal Post-Processing in Optical Communication Systems
Sun, Yi.; Shafarenko, A.; Adams, R.G.; Davey, N.; Slater, B.; Bhamber, R.; Boscolo, S.; Turitsyn, S.K. (INSTICC (Inst. Syst. Technologies Information Control and Communication), 2008)Improving bit error rates in optical communication systems is a difficult and important problem. The error correction must take place at high speed and be extremely accurate. We show the feasibility of using hardware ... -
Combining experts in order to identify binding sites in genomic data
Rezwan, F.; Sun, Yi.; Robinson, M.; Adams, R.G.; Rust, A.G.; Davey, N. (2008)The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to ... -
Combining experts in order to identify binding sites in yeast and mouse genomic data
Robinson, M.; Gonzalez Castellano, C.; Rezwan, F.; Adams, R.G.; Davey, N.; Rust, A.G.; Sun, Yi. (2008)The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to ... -
Comparing computational and human measures of visual similarity
Gale, T.M.; Sun, Yi.; Adams, R.G.; Davey, N. (World Scientific Publishing, 2005)There have been many attempts to quantify visual similarity within different categories of objects, with a view to using such measures to predict impaired recognition performance. Although many studies have linked measures ... -
Comparing the performance of single-layer and two-layer support vector machines on face detection
Han, J.W.; Lane, P.C.R.; Davey, N.; Sun, Yi. (2007) -
Correcting Errors in Optical Data Transmission Using Neural Networks
Hunt, S.; Sun, Yi.; Shafarenko, A.; Adams, R.G.; Davey, N.; Slater, B.; Bhamber, R.; Boscolo, S.; Turitsyn, S.K. (2010)Optical data communication systems are prone to a variety of processes that modify the transmitted signal, and contribute errors in the determination of 1s from 0s. This is a difficult, and commercially important, problem ... -
Identifying binding sites in sequential genomic data
Robinson, M.; Gonzalez Castellano, C.; Adams, R.G.; Davey, N.; Sun, Yi. (2007) -
Identifying word boundaries in handwritten text
Sun, Yi.; Butler, T.; Shafarenko, A.; Loomes, M.J.; Adams, R.G.; Davey, N. (2004) -
Integrating genomic binding site predictions using real-valued meta classifiers
Sun, Yi.; Robinson, M.; Adams, R.G.; Kaye, Paul H.; Te Boekhorst, R.; Rust, A.G.; Davey, N. (2009)Currently the best algorithms for predicting transcription factor binding sites in DNA sequences are severely limited in accuracy. There is good reason to believe that predictions from different classes of algorithms could ... -
Predicting Binding Sites in the Mouse Genome
Sun, Yi.; Robinson, M.; Adams, R.G.; Davey, N.; Rust, A.G. (Institute of Electrical and Electronics Engineers (IEEE), 2007) -
Predicting drug absorption rates through human skin
Sun, Yi.; Lam, L.Y.; Moss, G.P.; Prapopoulou, M.; Adams, R.G.; Davey, N.; Gray, David; Brown, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2010)Predicting the rate at which a substance will pass through human skin and into the bloodstream is a problem of current interest. We use Gaussian Process modeling to train a set of predictors using every combination of six ... -
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines
Sun, Yi.; Robinson, M.; Adams, R.G.; Rust, A.G.; Davey, N. (2008)Computational prediction of cis-regulatory binding sites is widely acknowledged as a difficult task. There are many different algorithms for searching for binding sites in current use. However, most of them produce a high ... -
A principled approach to interactive hierarchical non-linear visualization of high-dimensional data
Tino, P.; Nabney, I.; Sun, Yi.; Williams, B.S. (2001)Hierarchical visualization systems are desirable because a single twodimensional visualization plot may not be sufficient to capture all of the interesting aspects of complex high-dimensional data sets. We extend an existing ... -
Segmenting hand written text using supervised classification techniques
Sun, Yi.; Butler, T.; Shafarenko, A.; Loomes, M.J.; Adams, R.G.; Davey, N. (Institute of Electrical and Electronics Engineers (IEEE), 2004) -
Semi-supervised construction of general visualization hierarchies
Tino, P.; Sun, Yi.; Nabney, I. (CSREA Press, 2002)We have recently developed a principled approach to interactive non-linear hierarchical visualization [8] based on the Generative Topographic Mapping (GTM). Hierarchical plots are needed when a single visualization plot ... -
Using directional curvatures to visualize folding patterns of the GTM projection manifolds
Tino, P.; Nabney, I.; Sun, Yi. (2001)In data visualization, characterizing local geometric properties of non-linear projection manifolds provides the user with valuable additional information that can influence further steps in the data analysis. We take ... -
Using Feature Selection Filtering Methods for Binding Site Predictions
Sun, Yi.; Robinson, M.; Adams, R.G.; Te Boekhorst, R.; Rust, A.G.; Davey, N. (Institute of Electrical and Electronics Engineers (IEEE), 2006) -
Using randomised vectors in transcription factor binding site predictions
Rezwan, F.; Sun, Yi.; Davey, N.; Adams, R.G.; Rust, A.G.; Robinson, M. (Institute of Electrical and Electronics Engineers (IEEE), 2010)Finding the location of binding sites in DNA is a difficult problem. Although the location of some binding sites have been experimentally identified, other parts of the genome may or may not contain binding sites. This ... -
Using real-valued meta classifiers to integrate and contextualize binding site predictions
Robinson, M.; Sharabi, O.; Sun, Yi.; Adams, R.G.; Te Boekhorst, R.; Rust, A.G.; Davey, N. (Springer Nature, 2007) -
Using sampling methods to improve binding site predictions
Sun, Yi.; Robinson, M.; Adams, R.G.; Te Boekhorst, R.; Rust, A.G.; Davey, N. (2006)Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling into SMOTE over-sampling technique, working with ...