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The causal network components' expression data is enough to..:
Upendra Kumar Pradhan (11553069)
;
Nitesh Kumar Sharma (11553072)
;
Prakash Kumar (354386)
...
https://figshare.com/articles/figure/The_causal_network_components_expression_data_is_enough_to_accurately_predict_miRNA_profiles_for_any_given_condition_/16799082. , 2021
Link:
https://doi.org/10.1371/journal.pone.0258550.g007
RT Journal T1
The causal network components' expression data is enough to accurately predict miRNA profiles for any given condition
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16799082&Exemplar=1&LAN=DE A1 Upendra Kumar Pradhan (11553069) A1 Nitesh Kumar Sharma (11553072) A1 Prakash Kumar (354386) A1 Ashwani Kumar (55732) A1 Sagar Gupta (11553075) A1 Ravi Shankar (103040) YR 2021 K1 Biophysics K1 Biochemistry K1 Genetics K1 Molecular Biology K1 Developmental Biology K1 Cancer K1 Biological Sciences not elsewhere classified K1 transcriptional regulatory events K1 regulatory research areas K1 recent findings suggest K1 much dependent upon K1 highly controlled process K1 high average accuracy K1 bayesian causal nets K1 xlink "> formation K1 downstream functional analysis K1 experimentally validated data K1 experimentally established data K1 reasoning mirna biogenesis K1 study also shows K1 networks ably explained K1 mirnas formation levels K1 predict mirna profiles K1 human mirnas profiles K1 rbp interaction information K1 mirna formation K1 functional projectiles K1 mature mirnas K1 tested across K1 temporal nature K1 quantitatively explain K1 profiling experiments K1 network components K1 large number K1 found capable K1 expression information K1 different platforms K1 detected directly K1 conditional networks K1 better understanding K1 besides finding K1 also lays K1 accurate prediction K1 91 %) JF https://figshare.com/articles/figure/The_causal_network_components_expression_data_is_enough_to_accurately_predict_miRNA_profiles_for_any_given_condition_/16799082 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0258550.g007 DO https://doi.org/10.1371/journal.pone.0258550.g007 SF ELIB - SuUB Bremen
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