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Table_5_sscNOVA: a semi-supervised convolutional neural net..:

Haibo Li ; Zhenhua Yu ; Fang Du...
https://figshare.com/articles/dataset/Table_5_sscNOVA_a_semi-supervised_convolutional_neural_network_for_predicting_functional_regulatory_variants_in_autoimmune_diseases_xlsx/25150211. , 2024

Link: https://doi.org/10.3389/fimmu.2024.1323072.s006

RT Journal
T1 <Title>Table_5_sscNOVA: a semi-supervised convolutional neural network for predicting functional regulatory variants in autoimmune diseases.xlsx</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25150211&Exemplar=1&LAN=DE
				
A1 Haibo Li
A1 Zhenhua Yu
A1 Fang Du
A1 Lijuan Song
A1 Yang Gao
A1 Fangyuan Shi
YR 2024
K1 Immunology
K1 Applied Immunology (incl. Antibody Engineering
K1 Xenotransplantation and T-cell Therapies)
K1 Autoimmunity
K1 Cellular Immunology
K1 Humoural Immunology and Immunochemistry
K1 Immunogenetics (incl. Genetic Immunology)
K1 Innate Immunity
K1 Transplantation Immunology
K1 Tumour Immunology
K1 Immunology not elsewhere classified
K1 Genetic Immunology
K1 Animal Immunology
K1 Veterinary Immunology
K1 autoimmune disease
K1 regulatory variant
K1 semi-supervised
K1 deep learning
K1 genome wide association studies
JF https://figshare.com/articles/dataset/Table_5_sscNOVA_a_semi-supervised_convolutional_neural_network_for_predicting_functional_regulatory_variants_in_autoimmune_diseases_xlsx/25150211
LK http://dx.doi.org/https://doi.org/10.3389/fimmu.2024.1323072.s006
DO https://doi.org/10.3389/fimmu.2024.1323072.s006
SF ELIB - SuUB Bremen

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