Showing results (1-10 of 3,055) with videos related to
Sort By:
Pageof 306
Quantitative Biology (Beijing, China)|July 15, 2021
Confidence intervals for Markov chain transition probabilities based on next generation sequencing reads dataLin Wan, Xin Kang, Jie Ren, et al.Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 22, 2022
A New Context Tree Inference Algorithm for Variable Length Markov Chain Model with Applications to Biological Sequence AnalysesShaokun An, Jie Ren, Fengzhu Sun, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 30, 2012
CEDER: accurate detection of differentially expressed genes by combining significance of exons using RNA-SeqLin Wan, Fengzhu SunJournal of Molecular Biology|April 15, 2022
MLR-OOD: A Markov Chain Based Likelihood Ratio Method for Out-Of-Distribution Detection of Genomic SequencesXin Bai, Jie Ren, Fengzhu SunGenome Biology|December 6, 2019
Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regressionKujin Tang, Jie Ren, Fengzhu SunFrontiers in Genetics|December 12, 2019
Reads Binning Improves Alignment-Free Metagenome ComparisonKai Song, Jie Ren, Fengzhu SunGenome Biology|October 24, 2019
Correction to: MicroPro: using metagenomic unmapped reads to provide insights into human microbiota and disease associationsZifan Zhu, Jie Ren, Sonia Michail, et al.Genome Biology|August 8, 2019
MicroPro: using metagenomic unmapped reads to provide insights into human microbiota and disease associationsZifan Zhu, Jie Ren, Sonia Michail, et al.Bioinformatics (Oxford, England)|October 29, 2020
KIMI: Knockoff Inference for Motif Identification from molecular sequences with controlled false discovery rateXin Bai, Jie Ren, Yingying Fan, et al.Biostatistics (Oxford, England)|February 23, 2012
Modeling RNA degradation for RNA-Seq with applicationsLin Wan, Xiting Yan, Ting Chen, et al.Pageof 306