Paper

Multisample aCGH Data Analysis via Total Variation and Spectral Regularization

2013

Created by Alysson Bolognesi Prado at 2019-03-27 14:30:26.0.

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1

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Authors

5

Venue

1

IEEE/ACM Transactions on Computational Biology and Bioinformatics

References

40

Spectral Regularization Algorithms for Learning Large Incomplete Matrices

Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization

Properties and Refinements of the Fused Lasso

A Fused Lasso Latent Feature Model for Analyzing Multi-Sample a CGH Data

A Population-Based Method for Identifying Recurrent DNA Copy Number Aberrations in Cancer from High-Resolution Data", Bioinformatics, vol

Detecting Simultaneous Changepoints in Multiple Sequences