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Found 4 papers, 1 papers with code
Graph Neural Network approaches for single-cell data: A recent overview
Graph Neural Networks (GNN) are reshaping our understanding of biomedicine and diseases by revealing the deep connections among genes and cells.
Approximate kNN Classification for Biomedical Data
Regarding the classification process for scRNA-seq data, an appropriate method is the k Nearest Neighbor (kNN) classifier since it is usually utilized for large-scale prediction tasks due to its simplicity, minimal parameterization, and model-free nature.
Real Time Sentiment Change Detection of Twitter Data Streams
Given the fact that Twitter messages are generated constantly with dizzying rates, a huge volume of streaming data is created, thus there is an imperative need for accurate methods for knowledge discovery and mining of this information.
Convolutional Neural Networks for Toxic Comment Classification
To justify this decision we choose to compare CNNs against the traditional bag-of-words approach for text analysis combined with a selection of algorithms proven to be very effective in text classification.
