All data points from Fig 5. by Sara Hijazi (21656615)

Population dynamics of <i>Killer-Rescue</i>/Cargo, <i>ClvR</i> and split^50cM <i>ClvR</i> V2. by Georg Oberhofer (3401438)

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

Average nearest neighbour analysis before and after filtering of data points. by Dennis Ochola (11626912)

Deletion of <i>ERG251-A</i> but not <i>ERG251-B</i> leads to decreased filamentation. by Xin Zhou (54275)

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)

Neural responses to corner-folds depend on corner angle. by Susana Martinez-Conde (389218)

“…Blue points represent responses from individual V1 neurons to corner-folds of three different angles (S90°, S52° and S40°) and to the non-corner gradient (P180°). …”

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:

Step-wise evolution of drug resistance via CNV and LOH. by Pétra Vande Zande (17628246)

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)

Population behavior of split drive components <i>Rescue</i>^<i>tko</i> and Cas9/<i>Cleaver</i> alone and together as a complete split^50cM <i>ClvR</i> V2 elemen... by Georg Oberhofer (3401438)

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>.…”

Correlates of osteogenic differentiation. by Fabian Westhauser (5314436)