Results 81 to 90 of about 30,603,790 (296)

Type I Error at Significance Level = 5E-05.

open access: yes, 2014
Type I Error at Significance Level = 5E-05.
Ying Wu (19057)   +6 more
core   +1 more source

Badly Controlled Type I error.

open access: yes, 2023
Methods (X axis) that had an inflated type I error for experiment ID n°4 (Table 1) and their type I error (Y axis) at nominal level α = 0.05 based on 10 000 replicates.
Miikka Vikkula (33969)   +3 more
core   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

open access: yesFEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

Simulated Type I error rates based on 10,000 datasets.

open access: yes, 2019
Simulated Type I error rates based on 10,000 datasets.
Erick Forno (151319)   +5 more
core   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

open access: yesFEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge   +6 more
wiley   +1 more source

Implementation of a Parallel Algorithm to Simulate the Type I Error Probability

open access: yesMathematics
Simulating the probability of type I error is a powerful statistical tool that allows confirming if the statistical test achieves the established nominal level.
Francisco Novoa-Muñoz
doaj   +1 more source

The average of the probabilities of Type I and Type II error, ω (a) and the cost-weighted probability of errors, ωc (b).

open access: yes, 2012
The combined probabilities of Type I and Type II error, ω (a), and the cost-weighted probability of errors, ωc (b). The α level at i) minimizes average error (assuming a Type I/Type II error cost ratio of 1), while the α level at ii) minimizes the cost ...
Joseph F. Mudge (180757)   +3 more
core   +1 more source

Well Controlled Type I error.

open access: yes, 2023
Methods (X axis) that have a good type I error for experiment ID n°4 (Table 1) and their type I error (Y axis) at nominal level α = 0.05, based on 10 000 replicates.
Miikka Vikkula (33969)   +3 more
core   +1 more source

L‐aspartate oxidase provides new insights into fumarate reduction in anaerobic darkness in Synechocystis sp. PCC6803

open access: yesFEBS Letters, EarlyView.
Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil   +3 more
wiley   +1 more source

Type-I error rates based on 10,000 replications.

open access: yes, 2014
aP-values were estimated based on 1,000 permutations.Type-I error rates based on 10,000 replications.
Wan-Yu Lin (91498)
core   +1 more source

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