The relevant data file for this article. by Linsha Liu (20378293)

Relevant computed image data. by Zhaoyu Ku (20660546)

Summary of relevant works. by Bashir Olaniyi Sadiq (22478011)

The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

Model-relevant variable data for external patients. by Lei Gao (6566)

Relevant data underlying the findings described in manuscript. by Lin Qi (128224)

Data generation algorithm. by Aluwani Ramalata (21262977)

Relevant Parameters. by Dongyan Wang (195482)

Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf by Wen Guan (5612195)

Comparison of the EODA algorithm with existing algorithms in terms of recall. by Sunil Kumar (102321)

Subjects:

Comparison of the EODA algorithm with existing algorithms in terms of precision. by Sunil Kumar (102321)

Subjects:

Definitions of relevant SSA parameters. by Yeping Shi (14279118)

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by 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 by 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 by 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. …”

Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. by Sunil Kumar (102321)

Subjects:

HIV screening algorithm. by Wei Li A. Koay (21094209)

Non-biomedical word replacement algorithm: This algorithm outlines the process for replacing non-biomedical words in a corpus using WordNet. by Enock Niyonkuru (21246879)

Subjects:

Multiclass comparison of algorithms on test data for KDDCup 99. by Arati Behera (19864844)

Goal relevance. by Maeva El Bouchikhi (20442436)

“…They highlighted an important number of ethical issues which could be grouped into five overarching categories: goal relevance, adverse side effects, role of employees, data process, and vagueness. …”