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researcher

William Stafford Noble

University of Washington

11 papers hereh-index 9862.1k citations385 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author7

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • stat.ME3
  • q-bio.QM2
  • cs.CE1
  • q-bio.MN1
affiliations
  • University of Washington
Homepage

identity via Semantic Scholar / OpenAlex

activity
20062023
most citedDeepPINK: reproducible feature selection in deep neural networks

66 citations · 104 across the 11 of their papers we have counts for

collaborators
Showing stat.MEShow all

3 papers · 1 filter

stat.ME2023★ 1 cited

Bounding the FDP in competition-based control of the FDR

Arya Ebadi, Dong Luo, Jack Freestone +2

Competition-based approach to controlling the false discovery rate (FDR) recently rose to prominence when, generalizing it to sequential hypothesis testing, Barber and Candès used…

stat.ME2020★ 1 cited

Competition-based control of the false discovery proportion

Dong Luo, Arya Ebadi, Yilun He +3

Recently, Barber and Candès laid the theoretical foundation for a general framework for false discovery rate (FDR) control based on the notion of "knockoffs." A closely related FDR…

stat.ME2019★ 5 cited

Multiple competition-based FDR control for peptide detection

Kristen Emery, Syamand Hasam, William Stafford Noble +1

Competition-based FDR control has been commonly used for over a decade in the computational mass spectrometry community (Elias and Gygi, 2007). Recently, the approach has gained si…

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