Your English writing platform
Discover LudwigSuggestions(5)
Exact(15)
The original guidelines (published in 2000) have been revised, replacing a stratified pre- and full mutation model of fragile X syndrome with one based on a continuum of gene effects across the full spectrum of FMR1 CGG trinucleotide repeat expansion.
To test for a phylogeographic signal in the data, we also derived pairwise RST values, which accounts for the stepwise mutation model of microsatellite alleles [19], and compared these to RST values in which allele sizes were permuted (1000 times) among alleles (pRST) [20] using the software SPAGeDi version 1.3 [21.3
Generally, the data are consistent with the stepwise mutation model of microsatellite evolution.
Here we fit SEER data to parameterize a somatic mutation model of cancer.
The infinite site mutation model of sequence evolution was applied and loci were cut into non-recombining blocks.
However, ordinary HMMs and our earlier, simpler, point mutation model of simulated evolution require only sequence information, not structure.
Similar(45)
The two-mutation model of Moolgavkar, Venzon, and Knudson corresponds to the case k = 2.
The models generalize the two-mutation model of Moolgavkar, Venzon, and Knudson, and also the Armitage-Doll model, and will be termed the generalized MVK model.
The two-mutation model of Moolgavkar, Venzon and Knudson (MVK) supposes that at age t there are X t) susceptible stem cells, each subject to mutation to an intermediate type of cell at a rate M 0)(t).
Subsequently, the stochastic two-mutation model of Moolgavkar and Venzon [ 2] generalized Knudson's model, by taking account of cell mortality at all stages as well as allowing for differential growth of intermediate cells.
A variety of quasi-mechanistic models of carcinogenesis are reviewed, all based on this somatic Darwinian evolutionary hypothesis; in particular, the multi-stage model of Armitage and Doll, the two-mutation model of Moolgavkar, Venzon, and Knudson (MVK), the generalized MVK model of Little and various further generalizations of these incorporating effects of genomic instability.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com