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Correlation and covariance matrices for genes in the sex hierarchy.
Specifically, we sought to calculate the CUB matrices for genes regulated by sixteen global transcription factors for S. cerevisiae: Cbf1p, Dal82p, Gcn4p, Gln3p, Hap4p, Hsf1p, Leu3p, Mbp1p, Msn4p, Nrg1p, Pho4p, Rtg3p, Skn7p, Ste12p, Tec1p, and Upc2p.
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Alternatively, the targeting peptides could be used to target nanoparticles, liposomes and viruses to matrices for gene delivery to the wound bed.
The inferred control strength matrices for gene expression data are listed in Table 4, and the regulated actions for seven TFs (Abf1, Fkh1, Fkh2, Mcm1, Ndd1, Phd1 and Ste12) are shown in Figure S2.
We apply the Z-score gene-set statistic of [ 13] (eqs. 2 and 3 of the Methods section) to infer pattern-specific pathway activation (repression) from over- (under-) representation of large magnitude elements in the A matrix for genes that are targets of transcription factors.
Herein, we extended the previous work to the synthesis of a multifunctional gelatin/silica gene delivery system with separately controllable functions, including a polymer matrix for gene stabilization/controlled release, protein HA2 for cell penetration, aptamer AGRO100 for tumor targeting, and surface-bound PEG for enhancing circulatory time.
This results in transition matrix for gene pair orientation class l∈{1, 2}.
We used the COGA GWAS dataset and applied permutation analysis to evaluate the best weighting score matrix for gene ranking.
To investigate the genomic and proteomic diversity between Prevotella species adapted at different body sites of human, we have constructed the binary gene presence/absence matrices for orthologous gene families within these smaller niche-specific datasets.
First, we calculated the distance matrices for both genes and ROIs, using Eqs.
Two data matrices for seven genes were obtained for dS and dN, respectively.
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