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Aligned cross-modal integration and regulatory heterogeneity characterization of single-cell multiomic data with deep contrastive learning. [PDF]
Genome MedCheng Y +7 more
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OmicsQ: a user-friendly platform for interactive quantitative omics data analysis. [PDF]
BioinformaticsTrinh XT +4 more
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Deep learning and radiomics-based system for early diagnosis of hip synovitis in juvenile idiopathic arthritis. [PDF]
Front ImmunolKou J +5 more
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Protocol for machine learning-based classification of neuronal cell types from spike waveforms. [PDF]
STAR ProtocWang Y, Liu X, Zhang Z, Yin M, Dai J.
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Prediction of TP53 mutations across female reproductive system pan-cancers using deep multimodal PET/CT radiogenomics. [PDF]
Front Med (Lausanne)Du T +5 more
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Fully automatic clustering system
IEEE Transactions on Neural Networks, 2002In this paper, the fully automatic clustering system (FACS) is presented. It is a technique for clustering and vector quantization whose objective is the automatic calculation of the codebook of the right dimension, the desired error (or target) being fixed.
G. PATANE', RUSSO, Marco
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Clustering fusion with automatic cluster number
2014 International Conference on Recent Trends in Information Technology, 2014Most of the real world applications use data clustering techniques for effective data analysis. All clustering techniques have some assumptions on the underlying dataset. We can get accurate clusters if the assumptions hold good. But it is difficult to satisfy all assumptions.
P. Muneeswaran, P. Velvizhy, A. Kannan
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