Results 51 to 60 of about 385,160 (293)
Copulas, uncertainty, and false discovery rate control [PDF]
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Roy Cerqueti, Claudio Lupi
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Constrained Approximate Search Algorithms in Knowledge Discovery
Knowledge discovery in big data is one of the most important applications of computing machinery today. Search is essential part of all such procedures.
Slobodan Petrović, Julia Sidorova
doaj +1 more source
False Discovery Rate Control under Archimedean Copula
We are concerned with the false discovery rate (FDR) of the linear step-up test φLSU considered by Benjamini and Hochberg (1995). It is well known that φLSU controls the FDR at level m0q/m if the joint distribution of p-values is multivariate totally ...
Bodnar, Taras, Dickhaus, Thorsten
core +1 more source
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
False Discovery Rate (FDR) information.
False Discovery Rate (FDR) information.
W. Augustine Dunn (116431) +6 more
core +1 more source
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters +17 more
wiley +1 more source
Filtering for increased power for microarray data analysis
Background Due to the large number of hypothesis tests performed during the process of routine analysis of microarray data, a multiple testing adjustment is certainly warranted.
Hess Ann M, Hackstadt Amber J
doaj +1 more source
Monotone false discovery rate [PDF]
This paper proposes a procedure to obtain monotone estimates of both the local and the tail false discovery rates that arise in large-scale multiple testing. The proposed monotonization is asymptotically optimal for controlling the false discovery rate and also has many attractive finite-sample properties.
Won, Joong-Ho +4 more
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Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Private False Discovery Rate Control
We provide the first differentially private algorithms for controlling the false discovery rate (FDR) in multiple hypothesis testing, with essentially no loss in power under certain conditions. Our general approach is to adapt a well-known variant of the Benjamini-Hochberg procedure (BHq), making each step differentially private.
Cynthia Dwork +2 more
openaire +2 more sources

