about
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypesA unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individualsA linear memory algorithm for Baum-Welch trainingGenotype Imputation with Millions of Reference SamplesClustering ionic flow blockade toggles with a mixture of HMMs.Memory-efficient dynamic programming backtrace and pairwise local sequence alignment.Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory.Efficient algorithms for training the parameters of hidden Markov models using stochastic expectation maximization (EM) training and Viterbi training.
P2860
Q24635938-C96BD8AE-A72F-4ECF-AE61-0C37D2FF9020Q24644474-F73F7E12-C8B3-4BCE-A10C-3B1D8FAF867FQ24814710-446CAD06-244E-4A65-84A7-592602EEF1F5Q28602441-7E318A4C-E5D6-475A-97B0-9865E6E06C6FQ33369605-D7F1ABA9-7442-4A43-B97A-0CA69D39AC59Q37157537-22D95707-BD34-491B-983F-7E5D05577298Q39258523-EE900CFB-4FB1-4692-8B7A-D76622026895Q42161397-35C03829-B4FE-4CE9-9732-6053D6A4D3F9
P2860
description
2000 nî lūn-bûn
@nan
2000年の論文
@ja
2000年学术文章
@wuu
2000年学术文章
@zh
2000年学术文章
@zh-cn
2000年学术文章
@zh-hans
2000年学术文章
@zh-my
2000年学术文章
@zh-sg
2000年學術文章
@yue
2000年學術文章
@zh-hant
name
Optimizing reduced-space sequence analysis.
@en
Optimizing reduced-space sequence analysis.
@nl
type
label
Optimizing reduced-space sequence analysis.
@en
Optimizing reduced-space sequence analysis.
@nl
prefLabel
Optimizing reduced-space sequence analysis.
@en
Optimizing reduced-space sequence analysis.
@nl
P356
P1433
P1476
Optimizing reduced-space sequence analysis.
@en
P2093
P304
P356
10.1093/BIOINFORMATICS/16.12.1082
P407
P577
2000-12-01T00:00:00Z