4 papers
Defining 3-dimensional marine provinces with phytoplankton compositions
Rafael Catoia Pulgrossi, Nathan L R Williams, Yubin Raut +2
Marine provinces rarely include fine-resolution biological data, and are often defined spatially across only latitude and longitude. Therefore, we aimed to determine how phytoplank…
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM
Wenxuan Zuo, Zifan Zhu, Yuxuan Du +5
High-dimensional longitudinal time series data is prevalent across various real-world applications. Many such applications can be modeled as regression problems with high-dimension…
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…
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…