B2 decreases glycolytic intermediates in cells. by Craig Eyster (392633)

Top 10 most significant DEGs. by Foluwasomi A. Oyefeso (15999113)

Shortlisted PTB-related drugs after manual inspection and applying Lipinski’s rule of 5 screening. by Muhammad Bilal Azmi (14519913)

Logic rule for calculating overall species’ climate exposure and biological sensitivity. by Timothy Frawley (12598960)

Classification of injuries based on Delphi consensus. by Ali S. Raja (9465320)

Subjects:

Median ATR-FTIR absorbance spectra of malignant (<i>n = 88</i>) and benign (<i>n = 78</i>) breast tissue samples. by Rock Christian Tomas (12003669)

A rule–based MAP kinase model [53, 54] and its corresponding block configuration produced by the cytomorphic compiler. by J. Kyle Medley (5400746)

“…An SBML simulation of the flattened rule–based model (B) and a block simulation (C) are identical up to 3 significant figures (simulated using libRoadRunner, CVODES solver, absolute and relative tolerances 10⁻²⁰ and 10⁻¹² respectively).…”

Decreasing laminin levels in BCs does not affect their migration. by Ester Molina López (16462735)

Rosuvastatin treatment decreases the levels of OVA-IgE and angiogenesis-related cytokines in the serum. by Lei Zhang (38117)

The Spatio-Temporal Narrative Perspective and the Emotion Regulation of a Narrator by Tibor Pólya (14307968)

Table_2_Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.XLSX by Xiujuan Lei (5374532)

“…Finally, according to these low-dimensional vector representations, we calculate the relevance between each microbe and disease by utilizing a modified rule-based inference method. By comparison with three other methods including LRLSHMDA, KATZHMDA and BiRWHMDA, LGRSH performs better than others. …”

Table_3_Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.XLSX by Xiujuan Lei (5374532)

“…Finally, according to these low-dimensional vector representations, we calculate the relevance between each microbe and disease by utilizing a modified rule-based inference method. By comparison with three other methods including LRLSHMDA, KATZHMDA and BiRWHMDA, LGRSH performs better than others. …”

Table_1_Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.xlsx by Xiujuan Lei (5374532)

“…Finally, according to these low-dimensional vector representations, we calculate the relevance between each microbe and disease by utilizing a modified rule-based inference method. By comparison with three other methods including LRLSHMDA, KATZHMDA and BiRWHMDA, LGRSH performs better than others. …”

Example of position-based updating. by Fredrik Allenmark (208899)

Subjects:

Example of response-based updating. by Fredrik Allenmark (208899)

Subjects:

Example of color-based updating. by Fredrik Allenmark (208899)

Subjects:

A proposed working model of how the GmNN1/FT2a-GmNYFA-C-GmENOD40 module regulates nodulation in soybean. by Xinxin Li (281237)

Ectopic lesions are decreased in PUGKO mice compared to controls. by Jan Sunde (8837384)

Performance comparison of ML-based models. by Md. Merajul Islam (12646837)

“…Additionally, the most significant rules are analyzed using the association mining technique to identify the influencing predictors of high risk of CVD.…”

Variation of with shear stress change rule. by Fei He (145896)