DSM: Deep Sequential Model for Complete Neuronal Morphology Representation and Feature Extraction
收藏Zenodo2023-12-10 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.10258371
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资源简介：
This is an open-source repository for hosting codes and data files from research, "DSM: Deep Sequential Model for Complete Neuronal Morphology Representation and Feature Extraction". We also provided a web service based on our methods, please go to http://114.117.165.134:8501/.
(1)raw_dataset.zip:
1,282 neuron reconstructions from SEU-Allen dataset;
1,002 neuron reconstructions from Janelia dataset;
1,100 neuron reconstructions from ION dataset.
(2)Supplementary.zip: Supplementary information, including tables and figures;
(3)DSM-tools.zip: A python package for converting neuron morphology into sequences and implementing DSM models.
NeuronSequenceDataset class: to transform SWC files to sequence dataframes by binary tree traversals, and prepare for the input of DSM networks.
DSMDataConverter class: a helper to convert the sequence dataframes for classification and clustering.
DSMHierarchicalAttentionNetwork class: classification model, giving a pre-trained DSM-HAN model by default.
DSMAutoencoder class: clustering model, giving a pre-trained DSM-AE model by default.
(4)neuron2seq_for_developer.zip: A repository for further development of the models, including source codes and all data files.
提供机构：
Zenodo
创建时间：
2023-12-05
