Distribution of miRs with a greater than two fold-change. by Stephanie L. Samani (17896610)

Subjects:

Flow chart of the study procedures. by Kazuhiko Ikeuchi (9234268)

Subjects:

Fold change with steady state myocardial mRNA levels for components of the inflammasome. by Stephanie L. Samani (17896610)

Subjects:

Effect of PMA on free FCoV RNA equivalent to 10⁸ TCID₅₀/mL. by Finja Rausch (14352176)

LOH resulting in 189R/R produces a strong decrease in drug susceptibility. by Pétra Vande Zande (17628246)

5-fold cross-validation comparison results. by Chunming Wen (17616274)

“…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”

Subnetwork of core DE genes with ≥5.0 degree and a fold change of ≥2.0 (50 nodes and 97 edges). by Reena Arora (1464781)

Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

How the variation in inhibitor concentration throughout one day affects the value of IC₅₀/(IC₅₀ + [R]) for different Abl1 inhibitors. by J. Roadnight Sheehan (20141887)

<i>Aspergillus flavus</i> mRNA expression (a) <i>aflD</i> and (c) <i>aflR</i> and phylogenetic analysis of (b) <i>aflD</i> and (d) <i>aflR</i> after exposure to 50 mg/mL of <i>U. e... by Martha Cebile Jobe (21175426)

Subjects:

RDV and EIDD2801 EC₅₀ and fold-change in VeroE6-ACE2-TMPRSS2. by Agnieszka M. Szemiel (10196243)

Foldases and holdases each decrease the level of unfolded protein. by Adam MR de Graff (9767829)

A heat map was generated for all the miRs utilized in the array, as a function of a fold change from referent control values. by Stephanie L. Samani (17896610)

Subjects:

COG annotation of differentially abundant proteins of three genotypes of <i>Lolium perenne</i> (fold increase>1.5, fold decrease<0.5, <i>P</i> < 0.05). by Fatemeh Raeisi Vanani (8991491)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Subjects:

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Subjects:

Inactivation of one allele of FT5. by Sophia Bigot (16469992)

Etesevimab in combination with JS026 neutralizing SARS-CoV-2 and its variants by Fengze Wang (10452968)

“…A cocktail of etesevimab and JS026 increased neutralizing efficacy against both wild-type SARS-CoV-2 and the recent emergence of Alpha, Beta, Gamma, and Delta variants. …”

TUDCA decreases ER stress in HOX neonatal rat lungs. by Kirkwood A. Pritchard Jr. (13449794)

“…<p>(<b>A</b>) The expression levels of ER stress markers (P-PERK 0.6±0.1-fold, p<0.001, n = 5; PERK 0.7±0.1-fold, p = 0.00364, n = 5; P-IRE1α 0.6±0.0-fold, p<0.001, n = 5; IRE1α 0.6±0.1-fold, p<0.001, n = 5; GRP78 0.8±0.1-fold, p<0.001, n = 5; cleaved ATF6 0.1±0.0-fold, p<0.001, n = 5; spliced XBP1 0.3±0.0-fold, p<0.001, n = 5; 2 males and 3 females) are all decreased while the N-glycosylated VEGFR2 is increased (3.5±0.2-fold, p<0.001, n = 5) in HOX neonatal lungs at P10 indicating TUDCA can attenuate hyperoxia-induced ER stress. …”

Relative expression (fold-change) of immune genes in mitogen-stimulated splenic lymphocytes. by Chaiwat Monmai (6377270)