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1 Ergebnisse
1
TFmeta : A Machine Learning Approach to Uncover Transcri..:
, In:
Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
,
Zhang, Yi
;
Zhang, Xiaofei
;
Lane, Andrew N.
.. - p. 351-359 , 2018
Link:
https://dl.acm.org/doi/10.1145/3233547.3233580
RT T1
Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
: T1
TFmeta : A Machine Learning Approach to Uncover Transcription Factors Governing Metabolic Reprogramming
UL https://suche.suub.uni-bremen.de/peid=acm-3233580&Exemplar=1&LAN=DE A1 Zhang, Yi A1 Zhang, Xiaofei A1 Lane, Andrew N. A1 Fan, Teresa W-M. A1 Liu, Jinze PB ACM YR 2018 K1 lung cancer K1 machine learning K1 metabolic reprogramming K1 rna-seq K1 transcription factor K1 Applied computing K1 Life and medical sciences K1 Computational biology K1 Recognition of genes and regulatory elements K1 Biological networks K1 Computational genomics K1 Genetics K1 Transcriptomics K1 Bioinformatics K1 Metabolomics / metabonomics K1 Systems biology SP 351 OP 359 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3233547.3233580 DO https://dl.acm.org/doi/10.1145/3233547.3233580 SF ELIB - SuUB Bremen
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