Abstract:
Recent matrix completion based methods have not been able to properly model the haplotype assembly problem for noisy observations. To deal with such cases, we propose a n...Show MoreMetadata
Abstract:
Recent matrix completion based methods have not been able to properly model the haplotype assembly problem for noisy observations. To deal with such cases, we propose a new minimum error correction (MEC) based matrix completion problem over the manifold of rank-one matrices. We then prove the convergence of a specific iterative algorithm to solve this problem. From the simulation results, the proposed method not only outperforms some well-known matrix completion based methods, but also shows a more accurate result compared to a most recent MEC-based algorithm for haplotype estimation.
Published in: IEEE Signal Processing Letters ( Volume: 26, Issue: 6, June 2019)
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Error Correction Mechanism ,
- Haplotype Assembly ,
- Manifold Optimization ,
- Simulation Results ,
- Convergence Of Algorithm ,
- Matrix Completion ,
- Haplotype Estimation ,
- Optimization Problem ,
- Cost Function ,
- Singular Value ,
- Sign Function ,
- Hamming Distance ,
- Singular Vectors ,
- Normalized Mean Square Error
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Error Correction Mechanism ,
- Haplotype Assembly ,
- Manifold Optimization ,
- Simulation Results ,
- Convergence Of Algorithm ,
- Matrix Completion ,
- Haplotype Estimation ,
- Optimization Problem ,
- Cost Function ,
- Singular Value ,
- Sign Function ,
- Hamming Distance ,
- Singular Vectors ,
- Normalized Mean Square Error
- Author Keywords