The G215S mutation decreases packaging of N and growth in primary differentiated human bronchial cells. by Hannah C. Kubinski (21213168)

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)

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

Functions of <i>GmNN1/FT2a</i> in nitrogen nutrition and nodulation. by Xinxin Li (281237)

Fig 4 - by Dennis Ochola (11626912)

Fig 5 - by Dennis Ochola (11626912)

Fli-1 directly activates miR-17-92 promoter and contributes to miR-17 and miR-20a expression in NN10#5 cells. by Samer Kayali (133888)

“…Histogram shows the relative decreases of pri-miRNA-17-92 transcript and mature miRNA levels in treated versus untreated cells (means and standard deviations from 3 independent experiments) with significant (p<0.01) decreases indicated by asteriks. …”

The effect of novel synthetic communities on plant shoot Pi content can be predicted by an NN. by Sur Herrera Paredes (674875)

“…The validation prediction error on NN is significantly smaller than LM (<i>p</i>-value = 5.25 × 10⁻¹⁰) and INT (<i>p</i>-value = 4.65 × 10⁻⁷). …”

Pol II, nucleosome, and H3K4me3 dynamics at circadian promoters. by Pål O. Westermark (3140802)

Networks with passive cross-links and no filament turnover undergo three stages of deformation in response to an extensional stress. by William M. McFadden (4692130)

“…Network parameters: <i>L</i> = 1 <i>μm</i>, <i>l</i>_<i>c</i> = 0.3 <i>μm</i>, <i>ξ</i> = 10 <i>nN</i> ⋅ <i>s</i>/<i>μm</i>. …”

Nuclear HER3 can regulate a minimal region of the cyclin D1 promoter via its bipartite transactivation domain. by Toni M. Brand (443217)

Supplementary Material for: Demographic Risk Factors of Retinopathy of Prematurity: A Systematic Review of Population-Based Studies by Yu C.W. (10945386)

Inferring intrinsic noise intensities and reconstructing experimental data via END-nSDE. by Jiancheng Zhang (181059)

The sensitivities of quadruplets (xBB'y) composed of central tandem mismatches BB' and edging WC pairings, x,y. by Hans Binder (128524)

“…In part c and d the respective NN-terms derived from the triple motifs with single mismatches (see Eq. (16) and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0007862#pone-0007862-g010" target="_blank">Figure 10</a> below) are shown for comparison (the open symbols show the NN-terms of the respective interaction groups and the thick blue line their mean value).…”

Table_1_Data Mining and Machine Learning Models for Predicting Drug Likeness and Their Disease or Organ Category.CSV by Abraham Yosipof (1450783)