Visualization by PaCMAP [52] shows that persistence fingerprint clusters protein-ligand complexes with similar binding affinity reasonably well, even beyond the training dataset (P... حسب Yuxi Long (11024307)

الموضوعات:

Performance of TNet-BP and PATH⁺ on the PDBBind v2020 refined set shows that PATH⁺ achieves similar performance with TNet-BP while having three orders fewer f... حسب Yuxi Long (11024307)

الموضوعات:

Comparison of PATH⁺ with TNet-BP [43]. حسب Yuxi Long (11024307)

الموضوعات:

Staging of AKI according to KDIGO criteria. حسب Christian Porschen (12967868)

الموضوعات:

Overall accuracy of human vs. pyAKI generated labels by classification method. حسب Christian Porschen (12967868)

الموضوعات:

pyAKI data model. حسب Christian Porschen (12967868)

الموضوعات:

Workflow of validating the pyAKI pipeline. حسب Christian Porschen (12967868)

الموضوعات:

Accuracy of human-assigned and pyAKI-generated labels across different acute kidney injury stages at each point in time. حسب Christian Porschen (12967868)

الموضوعات:

Data Sheet 1_The relevance of lead prioritization: a B2B lead scoring model based on machine learning.xlsx حسب Laura González-Flores (20843411)

Hair removal preprocessing using the DullRazor algorithm before image generation. حسب Mujung Kim (22367223)

Element model generation method with geometric distribution errors حسب Yiqi Liu (21357815)

"…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …"

<b>Algorithm Pseudocode</b> حسب Yibin Zhao (22425801)

Curve of data size vs. running time. حسب Qingnan Ji (22662198)

الموضوعات:

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets حسب Haojie Wang (3072141)

"…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …"

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets حسب Haojie Wang (3072141)

"…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …"

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets حسب Haojie Wang (3072141)

"…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …"

A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... حسب Zachary P. Neal (9946331)

Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 حسب Berith Atemoztli De la Cruz Sánchez (21758708)

"…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …"

Data labeling. حسب Saad Hammood Mohammed (20623506)

"…Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.…"

SHAP values for chromatin-associated proteins profiled in Wang et al. [22] (A) Chromatin-associated proteins and histone marks relevant for this model. حسب Kashyap Chhatbar (9515350)