Our poster at ISMB 2015 is concerned with data set selection and sensitivity estimation in collective factor models. Molecular biology data is rich in volume as well as heterogeneity. We can view individual data sets as relations between objects of...

Also labeled: Bioinformatics, Computer Science, Data Fusion, Data Mining, Factorization, Factorized Models, Latent Models, Maths

I have presented at CAMDA 2014 an extension of our recent matrix factorization-based data fusion approach that couples data fusion with survival regression. CAMDA 2014 runs as a satellite meeting at ISMB 2014, Boston, MA, USA. Our presentation got ...

Also labeled: Bioinformatics, Cancer Genomes Analysis, Computer Science, Data Fusion, Factorization, Factorized Models, Latent Models, Maths, Optimization, Survival Regression

Between December 2013 and August 2014 I am visiting the Department of Molecular and Human Genetics at Baylor College of Medicine, Houston, TX, USA. During my stay we will do research on computational methods for data fusion and their applications in...

Also labeled: Bioinformatics, Computer Science, Data Fusion, Factorization, Maths, Machine Learning, Probabilistic Numerics, Factorized Models, Matrix Completion, Latent Models, Baylor College of Medicine

I have spent some time recently studying matrix functions, both from theoretical and computational perspective. There is a nice book by Nick J. Higham on functions of matrices, which I highly recommend to interested reader and which provides a...