miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles

Formation of mature miRNAs and their expression is a highly controlled process. It is very much dependent upon the post-transcriptional regulatory events. Recent findings suggest that several RNA binding proteins beyond Drosha/Dicer are involved in the processing of miRNAs. Deciphering of conditiona...

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Veröffentlicht in:	PloS one 2021-10, Vol.16 (10), p.e0258550-e0258550
Hauptverfasser:	Pradhan, Upendra Kumar, Sharma, Nitesh Kumar, Kumar, Prakash, Kumar, Ashwani, Gupta, Sagar, Shankar, Ravi
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Bayesian analysis Bayesian statistical decision theory Bioinformatics Biology Biology and life sciences Biosynthesis Computer and Information Sciences Evaluation Experiments Functional analysis Genetic transcription Learning algorithms Machine learning Mathematical models MicroRNA miRNA Networks Physical Sciences Post-transcription Projectiles Research and Analysis Methods Ribonucleic acid RNA RNA-binding protein
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