Multimodal deep learning models for early detection of Alzheimer's disease stage | Scientific Reports
Structure-based protein function prediction using graph convolutional networks | Nature Communications
SCALE method for single-cell ATAC-seq analysis via latent feature extraction .,Nature Communications - X-MOL
Classification and Visualization of Alzheimer's Disease using Volumetric Convolutional Neural Network and Transfer Learning | Scientific Reports
Image-based profiling for drug discovery: due for a machine-learning upgrade? | Nature Reviews Drug Discovery
Feature Extraction Techniques. An end to end guide on how to reduce a… | by Pier Paolo Ippolito | Towards Data Science
A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme | Scientific Reports
Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks | Nature Communications
Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry | Scientific Reports
Annotation-free learning of plankton for classification and anomaly detection | Scientific Reports
Towards reconstructing intelligible speech from the human auditory cortex | Scientific Reports
Deep convolutional neural networks for accurate somatic mutation detection | Nature Communications
Dimensionality reduction to maximize prediction generalization capability | Nature Machine Intelligence
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
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
Characterization of deep neural network features by decodability from human brain activity | Scientific Data
CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction | Request PDF
A meta-learning approach for genomic survival analysis | Nature Communications
A shell dataset, for shell features extraction and recognition | Scientific Data
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning | Scientific Reports
PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients | Scientific Reports
Towards data-driven next-generation transmission electron microscopy | Nature Materials
العصيان إصرار خائن data feature extraction nature preprocessing physical - triggernauts.com
