Machine learning
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.
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How regulatory sequences learn cell representations
Protein sequence design by deep learning
Learning the missing channelLatest Research and Reviews
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Research
| Open Access
Chlorophyll soft-sensor based on machine learning models for algal bloom predictions
Scientific Reports 12, 13529 -
Research
| Open Access
Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method
Scientific Reports 12, 13458 -
Research
| Open Access
Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer’s disease
Nature Communications 13, 4566 -
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scBasset: sequence-based modeling of single-cell ATAC-seq using convolutional neural networks
Chlorophyll soft-sensor based on machine learning models for algal bloom predictions
Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method
Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer’s disease
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Identification of misdiagnosis by deep neural networks on a histopathologic review of breast cancer lymph node metastases
Addressing fairness in artificial intelligence for medical imaging
How AlphaFold can realize AI’s full potential in structural biology
‘The entire protein universe’: AI predicts shape of nearly every known protein
AI’s carbon footprint and a DNA nanomotor — the week in infographics
Could machine learning fuel a reproducibility crisis in science?