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141 a 150 de 900 Resultados
25 nov 2021 - Universidad Autónoma de Madrid
Nelke, Anna; Garcia Lopez, Silvia; Martinez Serrano, Alberto; Pereira, Marta, 2021, "Differential gene expression of neural stem cells in proliferation and dopaminergic differentiation conditions", https://doi.org/10.21950/4IXBTX, e-cienciaDatos, V1
This NGS study was done in order to analyze the differential gene expression of neural stem cells during proliferation and induction of differentiation in vitro. All samples are human neural stem cells derived from fetal ventral mesencephalon (hVM1 clone 32 cell line). Experiment... |
25 nov 2021 -
Differential gene expression of neural stem cells in proliferation and dopaminergic differentiation conditions
Hoja de cálculo MS Excel - 4,8 MB -
MD5: e4a1b9146a3337da4fe57d47814405e8
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25 nov 2021 -
Differential gene expression of neural stem cells in proliferation and dopaminergic differentiation conditions
Hoja de cálculo MS Excel - 1,6 MB -
MD5: 242f57376d1d2a6219a9308eaaae2771
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25 nov 2021 -
Differential gene expression of neural stem cells in proliferation and dopaminergic differentiation conditions
Hoja de cálculo MS Excel - 2,6 MB -
MD5: 4c66428084c611573110816c097d7949
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8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo Gzip - 20,2 GB -
MD5: 25f14da7080c2ee1b84713300d286c46
This file contains all the BERT models and dependencies evaluated in HESML V2R1 as detailed in [1]. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/BERTExperiments.tar.gz |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo ZIP - 42,8 GB -
MD5: 6c8d651f74559f16cac879722b46bff8
This file contains the BioC XML files in unicode format from PMC Corpus The dataset has been downloaded from 1 on 5 June, 2019. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/BioCManuscriptCorpus.zip |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo Gzip - 19,4 GB -
MD5: a27819702fb003f346d7ec541533a480
This file contains all the character and sentence pretrained models evaluated in HESML V2R1 as detailed in [1]. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/CharacterAndSentenceEmbeddings.tar.gz |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
application/mac-compactpro - 10,4 GB -
MD5: 3c265c455fe16950e93ce03387bc92d0
This file contains all the dependencies and external sources for executing the experiments in [1]. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/Dependencies.tar.gz.cpt. In order to obtain a decrypt password for this, you should sign... |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
application/mac-compactpro - 6,3 GB -
MD5: 05370eef043129f0783b5901440c6cef
This file contains the Docker-based image with all the pre-installed software and tools for executing the experiments detailed in this dataset and develop in HESML V2R1. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/hesml_v2r1_docker... |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo ZIP - 100,9 GB -
MD5: 079326772685a95c86e0ed003137bd42
IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/PreprocessedBioCCorpus.zip |
