A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme | Scientific Reports
SCALE method for single-cell ATAC-seq analysis via latent feature extraction .,Nature Communications - X-MOL
Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry | Scientific Reports
A meta-learning approach for genomic survival analysis | Nature Communications
Sequence-to-function deep learning frameworks for engineered riboregulators | Nature Communications
Dimensionality reduction to maximize prediction generalization capability | Nature Machine Intelligence
A generalizable and accessible approach to machine learning with global satellite imagery | Nature Communications
Deep learning for cellular image analysis | Nature Methods
A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction | Scientific Reports
Deep Learning in Label-free Cell Classification | Scientific Reports
Towards data-driven next-generation transmission electron microscopy | Nature Materials
COVID-19 image classification using deep features and fractional-order marine predators algorithm | Scientific Reports
CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction | Nature Genetics
Annotation-free learning of plankton for classification and anomaly detection | Scientific Reports
A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data Classification | Scientific Reports
Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks | Scientific Reports
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning | Scientific Reports
Using human brain activity to guide machine learning | Scientific Reports
Image-based profiling for drug discovery: due for a machine-learning upgrade? | Nature Reviews Drug Discovery
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning | Nature Communications
A shell dataset, for shell features extraction and recognition | Scientific Data
Nature Biomedical Engineering on Twitter: "A data-efficient and interpretable deep-learning method for the multi-class classification of whole-slide images that relies only on slide-level labels is applied to the detection of lymph node
Generic decoding of seen and imagined objects using hierarchical visual features | Nature Communications
Deep convolutional neural networks for accurate somatic mutation detection | Nature Communications
Data-analysis strategies for image-based cell profiling | Nature Methods
