Identifying viruses from metagenomic data using deep learning J Ren, K Song, C Deng, NA Ahlgren, JA Fuhrman, Y Li, X Xie, R Poplin, ... Quantitative Biology 8 (1), 64-77, 2020 | 357 | 2020 |
Applications of species accumulation curves in large-scale biological data analysis C Deng, T Daley, AD Smith Quantitative Biology 3 (3), 135-144, 2015 | 69 | 2015 |
Estimating the number of species to attain sufficient representation in a random sample C Deng, AD Smith arXiv preprint arXiv:1607.02804, 2016 | 7 | 2016 |
Predicting the number of bases to attain sufficient coverage in high-throughput sequencing experiments C Deng, T Daley, P Calabrese, J Ren, AD Smith Journal of Computational Biology 27 (7), 1130-1143, 2020 | 5 | 2020 |
Molecular Heterogeneity in Large-Scale Biological Data: Techniques and Applications C Deng, T Daley, G De Sena Brandine, AD Smith Annual Review of Biomedical Data Science 2, 39-67, 2019 | 5 | 2019 |
The preseq Manual T Daley, V Helus, A Smith | 4 | 2014 |
Using graphical adaptive lasso approach to construct transcription factor and microRNA's combinatorial regulatory network in breast cancer N Su, D Dai, C Deng, M Qian, M Deng IET systems biology 8 (3), 87--95, 2014 | 3 | 2014 |
A Generalization of the Accumulation Curve in Species Sampling and Its Applications to High-Throughput Sequencing C Deng University of Southern California, 2018 | | 2018 |
An R package for estimating the number of species represented r or more times C Deng, T Daley, AD Smith | | |