Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning;Zhiting Hu et al A Roadmap to Pluralistic Alignment;Taylor Sorensen et al Towards Unified Alignment Between Agents, Humans, and Environment;Zonghan Yang et al ...
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Alignment resulted in an average of 66 million uniquely-mapped reads per sample. STAR two-pass mode alignment was chosen as it has been shown to have 99% alignment accuracy and has nearly 20x faster processing speed compared with TopHat2 and similar processing speed as HISAT two-pass mode16....
The Amplicon sequencing variants (ASVs) were compared with the Silva 138 database [27] at a 99% confidence level using a Naive Bayes pre-trained classifier and the sklearn machine learning algorithm [28,29]. The classification results were used to generate taxa bar plots. To ease the ...