26 citations · 52 across the 5 of their papers we have counts for
5 papers
Identifying viruses from metagenomic data by deep learning
Jie Ren, Kai Song, Chao Deng +5
The recent development of metagenomic sequencing makes it possible to sequence microbial genomes including viruses in an environmental sample. Identifying viral sequences from meta…
Alignment-Free Sequence Analysis and Applications
Jie Ren, Xin Bai, Yang Young Lu +4
Genome and metagenome comparisons based on large amounts of next-generation sequencing (NGS) data pose significant challenges for alignment-based approaches due to the huge data si…
COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment, and paired-end read LinkAge
Yang Young Lu, Ting Chen, Jed A. Fuhrman +1
The advent of next-generation sequencing (NGS) technologies enables researchers to sequence complex microbial communities directly from environment. Since assembly typically produc…
Inference of Markovian Properties of Molecular Sequences from NGS Data and Applications to Comparative Genomics
Jie Ren, Kai Song, Minghua Deng +3
Next Generation Sequencing (NGS) technologies generate large amounts of short read data for many different organisms. The fact that NGS reads are generally short makes it challengi…
Extreme Value Distribution Based Gene Selection Criteria for Discriminant Microarray Data Analysis Using Logistic Regression
Wentian Li, Fengzhu Sun, Ivo Grosse
One important issue commonly encountered in the analysis of microarray data is to decide which and how many genes should be selected for further studies. For discriminant microarra…