Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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TimeKit: A time-series forecasting-based upgrade kit for collaborative filtering
S Hong, M Jo, S Kook, J Jung, H Wi, N Park, SB Cho. Cited by 7
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Whole‐genome sequencing and genome‐scale metabolic modeling of Chromohalobacter canadensis 85B to explore its salt tolerance and biotechnological use
BM Enuh, B Nural Yaman, C Tarzi, P Aytar Çelik, MB Mutlu, C Angione. Cited by 12
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Interpretable RNA foundation model from unannotated data for highly accurate RNA structure and function predictions. arXiv
J Chen, Z Hu, S Sun, Q Tan, Y Wang, Q Yu, L Zong, L Hong, J Xiao, et al.. Cited by 13
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Clinical stratification improves the diagnostic accuracy of small omics datasets within machine learning and genome-scale metabolic modelling methods
G Magazzù, G Zampieri, C Angione. Cited by 16
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Personality type based on myers-briggs type indicator with text posting style by using traditional and deep learning
S Ontoum, JH Chan. Cited by 40
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Self-supervised contrastive learning for integrative single cell RNA-seq data analysis
W Han, Y Cheng, J Chen, H Zhong, Z Hu, S Chen, L Zong, L Hong, et al. Cited by 92
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E2Efold-3D: end-to-end deep learning method for accurate de novo RNA 3D structure prediction
T Shen, Z Hu, Z Peng, J Chen, P Xiong, L Hong, L Zheng, Y Wang, I King, et al.. Cited by 81
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Influence-aware attention networks for anomaly detection in surveillance videos
S Zhang, M Gong, Y Xie, AK Qin, H Li, Y Gao, YS Ong. Cited by 94
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Interpretable RNA foundation model from unannotated data for highly accurate RNA structure and function predictions
J Chen, Z Hu, S Sun, Q Tan, Y Wang, Q Yu, L Zong, L Hong, J Xiao, et al. Cited by 209
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Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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Hierarchical Clustering of Multi-Study Depression Data Yields Four Symptom Clusters
L Wang, M Chignell, H Jiang, S Lokuge, GE Mason, K Fotinos, MA Katzman
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Reshaping Human Factors Education in Times of Big Data: Practitioner Perspectives
BY Zhang, M Chignell. Cited by 1