datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Symptom2Diseasesma-gse108094-motor-neuron-rnaseq
GSE108094 SMA Motor-Neuron RNA-seq
This repository contains processed RNA-sequencing results and GEO/SRA metadata for human SMA and control iPSC-derived motor neurons.
The experiment has eight libraries from four biological cell lines: two SMA and two control lines, each with two sequencing replicates. The repository contains the differential-expression output, alternative-splicing output, series matrix, MINiML family file, SOFT family file, and SRA run inventory. The… See the full description on the dataset page: https://huggingface.co/datasets/YannisTevissen/sma-gse108094-motor-neuron-rnaseq.Airlines_Reviews_Neuronetneuronssfd_housing_prices_november_2024
Index designations for "author_type_id":
Realtor – 0
Homeowner – 1
Index designations for "location_id":
Astrakhan – 1
Volgograd – 2
Krasnodar – 3
Rostov-on-Don – 4
Maykop – 5
Elista – 6
Index designations for "district_id":
Astrakhan:
Kirovsky - 11
Leninsky - 12
Sovietsky - 13
Trusovsky - 14
Central - 15
Volgograd:
Voroshilovsky - 21
Dzerzhinsky - 22
Kirovsky - 23
Krasnoarmeysky - 24
Krasnooktyabrsky - 25
Sovietsky - 26
Traktorozavodsky - 27
Central -… See the full description on the dataset page: https://huggingface.co/datasets/neuronetties/sfd_housing_prices_november_2024.neuronalTTR_targetsTranscriptionActivators_molecularFeaturesThe neuronalTTR_targetsTranscriptionActivators_molecularFeatures dataset is a part from the study “Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists”
https://doi.org/10.48550/arXiv.2506.01137
A total of 3,041 unique small molecule samples are included in this dataset. The samples are classified by their TTR transcription activity, resulting in 1,093 activators and 1,948 non-activators. This… See the full description on the dataset page: https://huggingface.co/datasets/ivanovaml/neuronalTTR_targetsTranscriptionActivators_molecularFeatures.neuronalTTR_targetsTranscriptionActivators_C13NMRThe neuronalTTR_targetsTranscriptionActivators_13CNMR dataset is a part from the study “Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists”
https://doi.org/10.48550/arXiv.2506.01137
A total of 3,041 unique small molecule samples are included in this dataset. The samples are classified by their TTR transcription activity, resulting in 1,093 activators and 1,948 non-activators. This information… See the full description on the dataset page: https://huggingface.co/datasets/ivanovaml/neuronalTTR_targetsTranscriptionActivators_C13NMR.car_fault_typeneuronalTTR_targetsTranscriptionActivators_CID_SIDThe neuronalTTR_targetsTranscriptionActivators_CID_SID dataset is a part from the study “Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists”
https://doi.org/10.48550/arXiv.2506.01137
A total of 3,174 unique small molecule samples are included in this dataset. The samples are classified by their TTR transcription activity, resulting in 2,020 activators and 1,154 non-activators. This… See the full description on the dataset page: https://huggingface.co/datasets/ivanovaml/neuronalTTR_targetsTranscriptionActivators_CID_SID.rmbi3110-datadiabet