Matthew Stephens - researchr alias

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Viewing Publication 1 - 10 from 10

2021

Empirical Bayes Matrix FactorizationWei Wang, Matthew Stephens. jmlr, 22, 2021. [doi]

Flexible Signal Denoising via Flexible Empirical Bayes ShrinkageZhengrong Xing, Peter Carbonetto, Matthew Stephens. jmlr, 22, 2021. [doi]

2019

Inference and visualization of DNA damage patterns using a grade of membership modelHussein Al-Asadi, Kushal K. Dey, John Novembre, Matthew Stephens. bioinformatics, 35(8):1292-1298, 2019. [doi]

Creating and sharing reproducible research code the workflowr wayJohn D. Blischak, Peter Carbonetto, Matthew Stephens. f1000research, 8:1749, 2019. [doi]

2018

A new sequence logo plot to highlight enrichment and depletionKushal K. Dey, Dongyue Xie, Matthew Stephens. bmcbi, 19(1), 2018. [doi]

2016

vash): flexible empirical Bayes estimation of variancesMengyin Lu, Matthew Stephens. bioinformatics, 32(22):3428-3434, 2016. [doi]

2007

msHOT: modifying Hudson s ms simulator to incorporate crossover and gene conversion hotspotsGarrett Hellenthal, Matthew Stephens. bioinformatics, 23(4):520-521, 2007. [doi]

2003

Identification of Biological Relationships from Text Documentsusing Efficient Computational MethodsMathew J. Palakal, Matthew Stephens, Snehasis Mukhopadhyay, Rajeev R. Raje, Simon Rhodes. jbcb, 1(2):307-342, 2003. [doi]

2002

A Multi-Level Text Mining Method to Extract Biological RelationshipsMathew J. Palakal, Matthew Stephens, Snehasis Mukhopadhyay, Rajeev R. Raje, Simon Rhodes. csb 2002: 97-108 [doi]

2001

Detecting Gene Relations from MEDLINE AbstractsMatthew Stephens, Mathew J. Palakal, Snehasis Mukhopadhyay, Rajeev R. Raje, Javed Mostafa. psb 2001: 483-496 [doi]

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