List of 291 significant (padj<0.05) differentially expressed genes in <i>Bacillus anthracis</i>, presented as log₂ fold change values. by Ankur Bothra (437953)

Accuracy curves for the five loss functions, represented by different colors and shapes of the folds. by Zhigang Hu (477325)

Accuracy curves of the seven attention mechanisms, represented by different colors and shapes of the folds. by Zhigang Hu (477325)

Representative taxa that displayed significant changes in relative abundances in dependence on the filtration volumes used. by Corentin Fournier (5088941)

Subjects:

Dehydrated animals had increased kidney renin expression. by Brooke Rodgers (21161974)

IR-induced mutation profiles of DNA repair mutants significantly different from wild-type. by Bettina Meier (274833)

Subjects:

Time distortions are suppressed for longer Standard events. by Franklenin Sierra (12257109)

“…<b>a)</b> With a 120-ms S (corresponding to an 8.33 Hz attentive rhythm) we observed a decrease of the CE as a function of ISI: ISIs longer than 800 ms decreased subjective distortions of the stimuli. …”

Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n_empirical = 305 units from 5 recording sessions, n_shuffled = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n_empirical = 180 units from 4 recording sessions, n_shuffled = 18000 simulated units from 4 recording sessions). …”

DBFOLD predicts increased folding flux through the N-terminal pathway in protein L as compared to protein G. by Amir Bitran (3812257)

“…But for protein L, this ratio is higher, indicating increased N-terminal folding as compared to protein G. …”

Pathway statistics: G1_SGE_vs_control, fold change > 4. by Yasuhiko Hattori (8675172)

Average runtime per fold (in seconds) for each model and training strategy. by Dávid Držík (22145693)

The top 10 significant (p<0.05) glycopeptides according to fold change when samples were compared between Rochester mothers and OOM mothers. by Matilda Holm (5076659)

AUC, accuracy and F1 score for different machine learning algorithms using 5-fold CV in the IWPC cohort. by Zhiyuan Ma (329796)

Fold change of different kinetic parameters of the folding process in various protein systems (Related to Fig 8). by Gopinath Chattopadhyay (9365504)

af3cli: Streamlining AlphaFold3 Input Preparation by Philipp Döpner (21028454)

“…The increased complexity of these assemblies is reflected in the input file generation process, presenting a significant hurdle for researchers without advanced computational expertise. …”

Improvement of Protein Structure Modeling Upon Coarse Grained Force Field Augmentation with Multitorsional Potentials Demonstrates the Significance of Along-Chain Coupling of Local... by Elizaveta F. Petrusevich (10358233)

Subjects:

SARS-CoV-2 specific T cell frequencies analysis comparing pre-existing conditions show no significant differences. by Katherine M. Littlefield (12647420)

Pathway statistics: G3_SGE+BEV_vs_SGE, fold change > 4. by Yasuhiko Hattori (8675172)

Pathway statistics: G1_SGE_vs_control, fold change < 0.25. by Yasuhiko Hattori (8675172)

18S CT fold change for the experiments described in Fig 7. by Lorena C. S. Chaves (18981055)