During my PhD, I worked under the supervision of Prof. David
J. Hand on statistical classification methods, with an
application to credit scoring.
As a research fellow, I worked with Prof. Xiaohui Liu
on the analysis of microarray data. This research was part of the MARIE project (MicroArray
Research, Innovation and Exploitation).
A. Tucker, V. Vinciotti, P.A.C. 't Hoen and X. Liu (2005) Bayesian
network classifiers for time-series microarray data. IDA-05,
Lecture Notes in Computer Science, 3646, 475-485.
V. Vinciotti, A. Tucker, X. Liu, E. Panteris and P. Kellam (2004) Identifying
genes with high confidence from small samples. Proceedings of the
ECAI-04 Workshop on 'Data Mining in Functional Genomics: Current
Trends and Future Directions', Valencia, August 2004.
Talks and Posters
Seminar: A Bayesian bidirectional hidden Markov model for ChIP-sequencing data, University of Manchester (UK), 2012.
Talk: Modelling gene regulation at the transcriptional and post-transcriptional level, "Statistics for Biological Networks", Groningen (Netherlands), 2011.
Seminar: Statistical modelling of gene regulation by transcription factors and microRNAs, University of Sussex (UK), 2010.
Poster: Quantile and M-quantile methods for gene expression
data, Newton Institute, Cambridge (UK), 2008.
Talk: Bayesian median regression for temporal gene expression
data, CompLife, Utrecht (Netherlands), 2007.
Poster: Computational inference of regulator activity in a
single input motif from gene expression data, "Data Fusion in
Genomics" meeting, Imperial College, London (UK), 2005.
Talk: Identifying genes with high
confidence from small samples, ECAI-04 Workshop on ``Data Mining
in Functional Genomics and Proteomics: Current Trends and Future Directions'',
Valencia (Spain), 2004.
Poster:Loop versus reference design for microarray
experiments, MASAMB XIV, Newton Institute, Cambridge (UK), 2004.
