id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-024282-t5wl0bih	Mao, Shunfu	BOAssembler: A Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance	2020-02-01		.txt	text/plain	3451	226	58	title: BOAssembler: A Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance For example, RNA-Seq assembly tools typically require hyper-parameter tuning to achieve good performance for particular datasets. Results: Here we propose BOAssembler, a framework that enables end-to-end automatic tuning of RNA-Seq assemblers, based on Bayesian Optimization principles. The reference-based assembler together with its performance evaluation can be represented as an abstract function f (D, θ), where D includes both the read alignments used for assembly and the reference transcriptome (a set of ground truth RNA transcripts) used for evaluation, and θ refers to the parameters of f . After read alignments are assembled with given parameter θ, the assembly output (a set of RNA transcripts) will be compared with the reference transcriptome, and the quality of assembly is measured by scalar metrics such as precision p and sensitivity s.	./cache/cord-024282-t5wl0bih.txt	./txt/cord-024282-t5wl0bih.txt