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Scientific Reports
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April 8, 2016
Empirical insights into the stochasticity of small RNA sequencing
Li-Xuan Qin, Thomas Tuschl, Samuel Singer
Cancer Informatics
|
April 17, 2013
An Empirical Evaluation of Normalization Methods for MicroRNA Arrays in a Liposarcoma Study
Li-Xuan Qin, Tom Tuschl, Samuel Singer
Frontiers in Genetics
|
February 14, 2022
PRECISION.seq: An R Package for Benchmarking Depth Normalization in microRNA Sequencing
Jian 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 method
Yannick 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 approach
Yunhui Qi, Xinyi Wang, Li-Xuan Qin
Arxiv
|
September 24, 2024
Optimizing Sample Size for Supervised Machine Learning with Bulk Transcriptomic Sequencing: A Learning Curve Approach
Yunhui Qi, Xinyi Wang, Li-Xuan Qin
JCO Clinical Cancer Informatics
|
June 19, 2023
BatMan: Mitigating Batch Effects Via Stratification for Survival Outcome Prediction
Ai Ni, Mengling Liu, Li-Xuan Qin
BMC Research Notes
|
January 28, 2014
Finding gene clusters for a replicated time course study
Li-Xuan Qin, Linda Breeden, Steven G Self
Cancer Informatics
|
September 19, 2015
Preprocessing Steps for Agilent MicroRNA Arrays: Does the Order Matter?
Li-Xuan Qin, Huei-Chung Huang, Qin Zhou
JCO Precision Oncology
|
August 11, 2021
Making External Validation Valid for Molecular Classifier Development
Yilin Wu, Huei-Chung Huang, Li-Xuan Qin
Page
of 14
Search research articles
Search
Showing results (11-20 of 131) with videos related to
Sort By:
Page
of 14
Scientific Reports
|
April 8, 2016
Empirical insights into the stochasticity of small RNA sequencing
Li-Xuan Qin, Thomas Tuschl, Samuel Singer
Cancer Informatics
|
April 17, 2013
An Empirical Evaluation of Normalization Methods for MicroRNA Arrays in a Liposarcoma Study
Li-Xuan Qin, Tom Tuschl, Samuel Singer
Frontiers in Genetics
|
February 14, 2022
PRECISION.seq: An R Package for Benchmarking Depth Normalization in microRNA Sequencing
Jian 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 method
Yannick 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 approach
Yunhui Qi, Xinyi Wang, Li-Xuan Qin
Arxiv
|
September 24, 2024
Optimizing Sample Size for Supervised Machine Learning with Bulk Transcriptomic Sequencing: A Learning Curve Approach
Yunhui Qi, Xinyi Wang, Li-Xuan Qin
JCO Clinical Cancer Informatics
|
June 19, 2023
BatMan: Mitigating Batch Effects Via Stratification for Survival Outcome Prediction
Ai Ni, Mengling Liu, Li-Xuan Qin
BMC Research Notes
|
January 28, 2014
Finding gene clusters for a replicated time course study
Li-Xuan Qin, Linda Breeden, Steven G Self
Cancer Informatics
|
September 19, 2015
Preprocessing Steps for Agilent MicroRNA Arrays: Does the Order Matter?
Li-Xuan Qin, Huei-Chung Huang, Qin Zhou
JCO Precision Oncology
|
August 11, 2021
Making External Validation Valid for Molecular Classifier Development
Yilin Wu, Huei-Chung Huang, Li-Xuan Qin
Page
of 14