NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
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NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
A tool for semi-automatic cell type classification
UCE is a zero-shot foundation model for single-cell gene expression data
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Toolbox for the analysis of smFISH images.