Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Omkar Muralidharan"'
Publikováno v:
Journal of the American Statistical Association. :1-13
We study empirical Bayes estimation of the effect sizes of N units from K noisy observations on each unit. We show that it is possible to achieve near-Bayes optimal mean squared error, without any assumptions or knowledge about the effect size distri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::033daa3e64ff2c9aa9d47d4315b78558
https://doi.org/10.1080/01621459.2021.1967164
https://doi.org/10.1080/01621459.2021.1967164
Publikováno v:
The American Statistician. 69:283-291
Modern data and applications pose very different challenges from those of the 1950s or even the 1980s. Students contemplating a career in statistics or data science need to have the tools to tackle problems involving massive, heavy-tailed data, often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38939e6ed799e8df124fe9f5f41309e3
https://doi.org/10.1080/00031305.2015.1089790
https://doi.org/10.1080/00031305.2015.1089790
Publikováno v:
Ann. Appl. Stat. 6, no. 3 (2012), 1047-1067
We develop statistically based methods to detect single nucleotide DNA mutations in next generation sequencing data. Sequencing generates counts of the number of times each base was observed at hundreds of thousands to billions of genome positions in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::695f8d4db3ceb9a0396bc78ed77d660e
http://arxiv.org/abs/1209.6453
http://arxiv.org/abs/1209.6453
Autor:
John Bell, Nan Zhang, Georges Natsoulis, Itai Kela, Omkar Muralidharan, Hua Xu, Daniel E. Newburger, Hanlee P. Ji
Publikováno v:
Nucleic Acids Research
Highly multiplex DNA sequencers have greatly expanded our ability to survey human genomes for previously unknown single nucleotide polymorphisms (SNPs). However, sequencing and mapping errors, though rare, contribute substantially to the number of fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edfed102ec8946644e825227b2169456
https://pubmed.ncbi.nlm.nih.gov/22064853
https://pubmed.ncbi.nlm.nih.gov/22064853
Autor:
Omkar Muralidharan
Publikováno v:
Electron. J. Statist. 4 (2010), 1527-1546
Microarray experiments often yield a normal data matrix X whose rows correspond to genes and columns to samples. We commonly calculate test statistics Z=Xw, where Zi is a test statistic for the ith gene, and apply false discovery rate (FDR) controlli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d4b16340ade782fd63b5131fb5af497
https://projecteuclid.org/euclid.ejs/1293113417
https://projecteuclid.org/euclid.ejs/1293113417
Autor:
Omkar Muralidharan
Publikováno v:
Ann. Appl. Stat. 4, no. 1 (2010), 422-438
Many statistical problems involve data from thousands of parallel cases. Each case has some associated effect size, and most cases will have no effect. It is often important to estimate the effect size and the local or tail-area false discovery rate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6c9239f26e66a189f39d19a243bf892
Autor:
Sheldon T. Brown, Mark Holodniy, Hanlee P. Ji, Omkar Muralidharan, Jason D. Buenrostro, Nan Zhang, Patrick Flaherty, Georges Natsoulis, Mark A. Winters, John Bell
Publikováno v:
Nucleic Acids Research
With next-generation DNA sequencing technologies, one can interrogate a specific genomic region of interest at very high depth of coverage and identify less prevalent, rare mutations in heterogeneous clinical samples. However, the mutation detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d6940bc952906827436fdfef411bc68
http://europepmc.org/articles/PMC3245950
http://europepmc.org/articles/PMC3245950