Autor: |
Mohades, Mohamad Mahdi, Majidian, Sina, Kahaei, Mohammad Hossein |
Rok vydání: |
2019 |
Předmět: |
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Druh dokumentu: |
Working Paper |
Popis: |
Recent matrix completion based methods have not been able to properly model the Haplotype Assembly Problem (HAP) for noisy observations. To cope with such a case, in this letter we propose a new Minimum Error Correction (MEC) based matrix completion optimization problem over the manifold of rank-one matrices. The convergence of a specific iterative algorithm for solving this problem is proved. Simulation results illustrate that the proposed method not only outperforms some well-known matrix completion based methods, but also presents a more accurate result compared to a most recent MEC based algorithm for haplotype estimation. |
Databáze: |
arXiv |
Externí odkaz: |
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