The Impact of Stability Considerations on Genetic Fine-Mapping
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[1] J. Gagneur,et al. Current sequence-based models capture gene expression determinants in promoters but mostly ignore distal enhancers , 2022, bioRxiv.
[2] A. Abdellaoui,et al. Gene–environment correlations across geographic regions affect genome-wide association studies , 2022, Nature Genetics.
[3] D. Conti,et al. Multi-ancestry fine-mapping improves precision to identify causal genes in transcriptome-wide association studies , 2022, bioRxiv.
[4] H. Im,et al. Polygenic transcriptome risk scores (PTRS) can improve portability of polygenic risk scores across ancestries , 2022, Genome biology.
[5] James E. Allen,et al. Ensembl 2022 , 2021, Nucleic Acids Res..
[6] David R. Kelley,et al. Effective gene expression prediction from sequence by integrating long-range interactions , 2021, Nature Methods.
[7] J. Witte,et al. Inclusion of variants discovered from diverse populations improves polygenic risk score transferability , 2020, bioRxiv.
[8] E. Eskin,et al. Identifying causal variants by fine mapping across multiple studies , 2020, bioRxiv.
[9] Chun Jimmie Ye,et al. On the cross-population generalizability of gene expression prediction models , 2019, bioRxiv.
[10] Lior Pachter,et al. Expression reflects population structure , 2018, bioRxiv.
[11] Fabien C. Lamaze,et al. Gene-by-environment interactions in urban populations modulate risk phenotypes , 2018, Nature Communications.
[12] Nicholas B. Larson,et al. FIRE: functional inference of genetic variants that regulate gene expression , 2017, Bioinform..
[13] Po-Ru Loh,et al. Multi-ethnic polygenic risk scores improve risk prediction in diverse populations , 2016, bioRxiv.
[14] Patrick McGillivray,et al. Using ALoFT to determine the impact of putative loss-of-function variants in protein-coding genes , 2017, Nature Communications.
[15] James B. Brown,et al. Iterative random forests to discover predictive and stable high-order interactions , 2017, Proceedings of the National Academy of Sciences.
[16] A. Siepel,et al. Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data , 2016, Nature Genetics.
[17] Gabor T. Marth,et al. A global reference for human genetic variation , 2015, Nature.
[18] Kevin Y. Yip,et al. FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer , 2014, Genome Biology.
[19] M. Daly,et al. Genetic and Epigenetic Fine-Mapping of Causal Autoimmune Disease Variants , 2014, Nature.
[20] Pedro G. Ferreira,et al. Transcriptome and genome sequencing uncovers functional variation in humans , 2013, Nature.
[21] Bin Yu,et al. Estimation Stability With Cross-Validation (ESCV) , 2013, 1303.3128.
[22] Eleazar Eskin,et al. Interpreting Meta-Analyses of Genome-Wide Association Studies , 2012, PLoS genetics.
[23] Serafim Batzoglou,et al. Identifying a High Fraction of the Human Genome to be under Selective Constraint Using GERP++ , 2010, PLoS Comput. Biol..
[24] P. Bork,et al. A method and server for predicting damaging missense mutations , 2010, Nature Methods.
[25] André Elisseeff,et al. Stability and Generalization , 2002, J. Mach. Learn. Res..
[26] M. Kenward,et al. An Introduction to the Bootstrap , 2007 .