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Recently, different scores have been published to predict the mortality risk pre‐operatively after PD.
Recently, several databases have been published to predict the alternative splicing of mRNA; cancer-specific alternative splicing has also been predicted with these databases.
Especially a high V3 amino acid charge was found to be associated to X4 co-receptor affinity [ 20- 24] and several models have been published to predict co-receptor affinity using V3 data [ 25- 28].
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It comes only days after an equation was published to predict the murder rate in Brazil as its population increases – rarely can there have been two formulae so far apart in the seriousness of their subject matter.
Several approaches have been published that predict peptide binding to MHC molecules utilizing known 3D structures.
Also, many so-called dynamic models have been published which predict a herd effect in unvaccinated children [ 39, 40].
Additionally, several so-called dynamic models have been published which also predict an indirect protective effect in unvaccinated children [ 39, 40].
However, few simple models have been published for predicting the shear capacity given by this technique.
Several risk scores have been published for predicting hard CHD events, i.e. nonfatal myocardial infarction and fatal CHD events, in both general and type 2 diabetic populations.
Several algorithms have been published for predicting ligand-binding sites, and critical information, such as information about geometry, amino acid composition, physical potential, and ligand-binding residues that are conserved in the evolutionary process, has been employed for predictions.
Many ODE models of ligand-induced cell death have been published, simulating and predicting the cell death response to Fas ligand (FasL), TNF-related apoptosis-inducing ligand (TRAIL) or tumor necrosis factor (TNF) with various degrees of details.
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