Search alternatives:
implement learning » implicit learning (Expand Search)
learning algorithm » learning algorithms (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
mesh algorithm » best algorithm (Expand Search), mean algorithm (Expand Search), means algorithm (Expand Search)
element mesh » element method (Expand Search), elements mges (Expand Search), element te (Expand Search)
implement learning » implicit learning (Expand Search)
learning algorithm » learning algorithms (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
mesh algorithm » best algorithm (Expand Search), mean algorithm (Expand Search), means algorithm (Expand Search)
element mesh » element method (Expand Search), elements mges (Expand Search), element te (Expand Search)
-
1
-
2
-
3
-
4
-
5
COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets
Published 2025“…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. …”
-
6
COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets
Published 2025“…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. …”
-
7
COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets
Published 2025“…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. …”
-
8
-
9
Data Sheet 1_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf
Published 2024“…</p>Conclusion<p>This study underscores the vital role of machine learning algorithms in predicting health facility deliveries. …”
-
10
Data Sheet 2_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf
Published 2024“…</p>Conclusion<p>This study underscores the vital role of machine learning algorithms in predicting health facility deliveries. …”
-
11
-
12
-
13
PATH has state-of-the-art performance versus previous binding affinity prediction algorithms.
Published 2025Subjects: -
14
-
15
-
16
-
17
Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf
Published 2025“…An evaluation of chosen (learning) algorithms for single and dual factor optimization was performed. …”
-
18
-
19
-
20