Theoretical Foundation of the Performance of Phylogeny-Based Somatic Variant Detection
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Satoru Miyano | Takuya Moriyama | Rui Yamaguchi | Seiya Imoto | S. Miyano | S. Imoto | R. Yamaguchi | Takuya Moriyama
[1] David Posada,et al. Accuracy of somatic variant detection in multiregional tumor sequencing data , 2019, bioRxiv.
[2] Satoru Miyano,et al. A Bayesian model integration for mutation calling through data partitioning , 2019, Bioinform..
[3] A. Bouchard-Côté,et al. Somatic mutation detection and classification through probabilistic integration of clonal population information. , 2019 .
[4] Sohrab P. Shah,et al. Somatic mutation detection and classification through probabilistic integration of clonal population information , 2019, Communications Biology.
[5] Satoru Miyano,et al. Accurate and Flexible Bayesian Mutation Call from Multi-regional Tumor Samples , 2019, ISMCO.
[6] Mohammed El-Kebir,et al. SPhyR: tumor phylogeny estimation from single-cell sequencing data under loss and error , 2018, Bioinform..
[7] Ken Chen,et al. SiCloneFit: Bayesian inference of population structure, genotype, and phylogeny of tumor clones from single-cell genome sequencing data , 2018, Genome Research.
[8] Hugo Y. K. Lam,et al. Deep convolutional neural networks for accurate somatic mutation detection , 2018, Nature Communications.
[9] Christopher T. Saunders,et al. Strelka2: fast and accurate calling of germline and somatic variants , 2018, Nature Methods.
[10] Ken Chen,et al. SiFit: inferring tumor trees from single-cell sequencing data under finite-sites models , 2017, Genome Biology.
[11] Krishnendu Chatterjee,et al. Reconstructing metastatic seeding patterns of human cancers , 2017, Nature Communications.
[12] Alexandru I. Tomescu,et al. SNV-PPILP: refined SNV calling for tumor data using perfect phylogenies and ILP , 2015, Bioinform..
[13] Simon Tavaré,et al. multiSNV: a probabilistic approach for improving detection of somatic point mutations from multiple related tumour samples , 2015, Nucleic acids research.
[14] Yusuke Sato,et al. HapMuC: somatic mutation calling using heterozygous germ line variants near candidate mutations , 2014, Bioinform..
[15] H. Kume,et al. An empirical Bayesian framework for somatic mutation detection from cancer genome sequencing data , 2013, Nucleic acids research.
[16] A. Sivachenko,et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples , 2013, Nature Biotechnology.
[17] Wendy S. W. Wong,et al. Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs , 2012, Bioinform..
[18] Christopher A. Miller,et al. VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing. , 2012, Genome research.
[19] Dan Gusfield,et al. Efficient algorithms for inferring evolutionary trees , 1991, Networks.
[20] M. Kimura. The number of heterozygous nucleotide sites maintained in a finite population due to steady flux of mutations. , 1969, Genetics.