Comparison of the ISIs that caused 0%, 50% and 100% decreases in response magnitudes (AI spikes, AI fEPSP and MGBv spikes) to succeeding tone. by Colin Xiong (9182695)

Proteins in thyroid tissue with differential expression levels above or below 1.5 for all activity groups (0.5, 5, 50 and 500 kBq) (totally 133 proteins). by Malin Larsson (1616557)

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

List of 186 genes that were increased more than 2-fold from control to galactose and decreased more than 1.5-fold from galactose to 2ME2. by Masaru Takashima (13851129)

VPS34 inhibition decreases intracellular levels of cholesteryl-esters, blocks cholesterol uptake and enhances lysosomal degradation of LDLR. by Marek J. Kobylarz (9292599)

S5 Fig - by Meihui Chen (1670020)

Model performance according to number of variables by 5-fold cross-validation. by Gazi Md. Salahuddin Mamun (13905678)

Primary endpoint analysis, i.e., time to first occurrence of combined event of 50% decrease in eGFR or ESRD. by Rozita Mohd (7411322)

Genes showing 1.5 fold expression decrease in D381 relative to heterozygous <i>TOR1/tor1</i>. by Wanjun Qi (5571359)

Synthesis and Antiproliferative Activity of a New Series of Mono- and Bis(dimethylpyrazolyl)‑<i>s</i>‑triazine Derivatives Targeting EGFR/PI3K/AKT/mTOR Signaling Cascades by Ihab Shawish (13015516)

Subjects:

Synthesis and Antiproliferative Activity of a New Series of Mono- and Bis(dimethylpyrazolyl)‑<i>s</i>‑triazine Derivatives Targeting EGFR/PI3K/AKT/mTOR Signaling Cascades by Ihab Shawish (13015516)

Subjects:

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)

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)

GREAT GO analysis of WDR5 and MYCN overlapped ChIP-seq peaks with >2.5-fold decrease of WDR5 signal intensity after the silencing of <i>WDR5</i>. by Zhihui Liu (95891)

“…<p>GREAT GO analysis of WDR5 and MYCN overlapped ChIP-seq peaks with >2.5-fold decrease of WDR5 signal intensity after the silencing of <i>WDR5</i>.…”

HPLC-MS tentative identification of phenolic metabolites from the defatted extract (DE) of <i>S. malaccense</i> (SM) and <i>S. samarangense</i> (SS) leaves. by Fatma A. Moharram (9276104)

Subjects:

Affinity analysis results (with a confidence level above 50%). by Marta R. Jabłońska (8491404)

Data-Driven Tool for Cross-Run Ion Selection and Peak-Picking in Quantitative Proteomics with Data-Independent Acquisition LC–MS/MS by Binjun Yan (17310633)

“…Proteomics provides molecular bases of biology and disease, and liquid chromatography–tandem mass spectrometry (LC–MS/MS) is a platform widely used for bottom-up proteomics. …”

Total ion chromatogram (TIC) obtained from HPLC-MS of the defatted aqueous methanol extract of <i>S. malaccense</i> leaves in (A) positive and (B) negative ionization modes. by Fatma A. Moharram (9276104)

Subjects:

Total ion chromatogram (TIC) obtained from HPLC-MS of the defatted aqueous methanol extract of <i>S. samarangense</i> leaves in (A) positive and (B) negative ionization modes. by Fatma A. Moharram (9276104)

Subjects:

5-fold validation results for model training with sex-specific data. by M. Mendez (6624953)