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Scientific Reports|April 8, 2016
Empirical insights into the stochasticity of small RNA sequencingLi-Xuan Qin, Thomas Tuschl, Samuel Singer
Cancer Informatics|April 17, 2013
An Empirical Evaluation of Normalization Methods for MicroRNA Arrays in a Liposarcoma StudyLi-Xuan Qin, Tom Tuschl, Samuel Singer
Frontiers in Genetics|February 14, 2022
PRECISION.seq: An R Package for Benchmarking Depth Normalization in microRNA SequencingJian Zou, Yannick Düren, Li-Xuan Qin
Nucleic Acids Research|February 21, 2022
Depth normalization of small RNA sequencing: using data and biology to select a suitable methodYannick Düren, Johannes Lederer, Li-Xuan Qin
Briefings in Bioinformatics|March 12, 2025
Optimizing sample size for supervised machine learning with bulk transcriptomic sequencing: a learning curve approachYunhui Qi, Xinyi Wang, Li-Xuan Qin
Arxiv|September 24, 2024
Optimizing Sample Size for Supervised Machine Learning with Bulk Transcriptomic Sequencing: A Learning Curve ApproachYunhui Qi, Xinyi Wang, Li-Xuan Qin
JCO Clinical Cancer Informatics|June 19, 2023
BatMan: Mitigating Batch Effects Via Stratification for Survival Outcome PredictionAi Ni, Mengling Liu, Li-Xuan Qin
Behavioural Brain Research|May 11, 2015
The possible relationship between expressions of TRPC3/5 channels and cognitive changes in rat model of chronic unpredictable stressXuan Qin, Ye Liu, Minghui Zhu, et al.
Arzneimittel-Forschung|May 22, 2010
Oral characteristics of bergenin and the effect of absorption enhancers in situ, in vitro and in vivoXuan Qin, Fang Yuan, Dan Zhou, et al.
BMC Research Notes|January 28, 2014
Finding gene clusters for a replicated time course studyLi-Xuan Qin, Linda Breeden, Steven G Self
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