利用多重Optimization和Error Correction机制组装单倍型
Haplotype Assembly Using Manifold Optimization and Error Correction Mechanism
摘要：
最近的矩阵完成为基础的方法还没有能够正确地建模的单倍型组装问题（HAP）的噪声观测。针对这种情况，本文提出了一种新的基于最小误差校正（MEC）的秩一矩阵流形上的矩阵完备化最优化问题。证明了求解该问题的一个具体迭代算法的收敛性。仿真结果表明，该方法不仅优于一些著名的矩阵完成的方法，但也提出了一个更准确的结果相比，最近的MEC为基础的单倍型估计算法。
英文摘要：
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.
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