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Simultaneous deep generative modelling and clustering of single-cell genomic data

期刊: NATURE MACHINE INTELLIGENCE, 2021; 3 (6)

Recent advances in single-cell technologies, including single-cell ATAC-seq (scATAC-seq), have enabled large-scale profiling of the chromatin accessib......

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

期刊: NATURE MACHINE INTELLIGENCE, 2021; 3 (3)

It is widely known that neural networks (NNs) are universal approximators of continuous functions. However, a less known but powerful result is that a......

Out-of-the-box deep learning prediction of pharmaceutical properties by broadly learned knowledge-based molecular representations

期刊: NATURE MACHINE INTELLIGENCE, ; ()

Successful deep learning critically depends on the representation of the learned objects. Recent state-of-the-art pharmaceutical deep learning models ......

An open source machine learning framework for efficient and transparent systematic reviews

期刊: NATURE MACHINE INTELLIGENCE, 2021; 3 (2)

To help researchers conduct a systematic review or meta-analysis as efficiently and transparently as possible, we designed a tool to accelerate the st......

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