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Naomi Altman

Naomi Altman is a statistician known for her work on kernel smoothing and kernel regression, and interested in applications of statistics to gene expression and genomics. She is a professor of statistics at Pennsylvania State University, and a regular columnist for the "Points of Significance" column in ''Nature Methods''. Provided by Wikipedia

1

Quantitative sequence-function relationships in proteins based on gene ontology

by Lesk Arthur M, Altman Naomi, Blankenberg Daniel J, Sangar Vineet
Published 2007-08-01

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2

Sampling distributions and the bootstrap

by Krzywinski, Martin, Altman, Naomi, Kulesa, Anthony Benjamin, Blainey, Paul C
Published 2019

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3

Rootstock-regulated gene expression patterns associated with fire blight resistance in apple

by Jensen Philip J, Halbrendt Noemi, Fazio Gennaro, Makalowska Izabela, Altman Naomi, Praul Craig, Maximova Siela N, Ngugi Henry K, Crassweller Robert M, Travis James W, McNellis Timothy W
Published 2012-01-01

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4

The Amborella genome: an evolutionary reference for plant biology

by Soltis, Douglas, Albert, Victor, Leebens-Mack, Jim, Palmer, Jeffrey, Wing, Rod, dePamphilis, Claude, Ma, Hong, Carlson, John, Altman, Naomi, Kim, Sangtae, Wall, P. K., Zuccolo, Andrea, Soltis, Pamela
Published 2008

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5

Comparison of next generation sequencing technologies for transcriptome characterization

by Soltis Douglas E, Schuster Stephan C, Ma Hong, Carlson John E, Hu Yi, Tomsho Lynn P, Landherr Lena, Liang Haiying, Wolcott Erik, Chanderbali André S, Barakat Abdelali, Leebens-Mack Jim, Wall P Kerr, Soltis Pamela S, Altman Naomi, dePamphilis Claude W
Published 2009-08-01

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