| 247 | -- | 254 | Jie Zheng, Ke Wang. Emerging deep learning methods for single-cell RNA-seq data analysis |
| 255 | -- | 265 | Wazim Mohammed Ismail, Etienne Nzabarushimana, Haixu Tang. Algorithmic approaches to clonal reconstruction in heterogeneous cell populations |
| 266 | -- | 277 | Farzane Yahyanejad, Réka Albert, Bhaskar DasGupta. A survey of some tensor analysis techniques for biological systems |
| 278 | -- | 292 | Raffaella Rizzi, Stefano Beretta 0001, Murray Patterson, Yuri Pirola, Marco Previtali, Gianluca Della Vedova, Paola Bonizzoni. Overlap graphs and de Bruijn graphs: data structures for de novo genome assembly in the big data era |
| 293 | -- | 301 | Xiaofeng Fu, Yang Yang. WEDeepT3: predicting type III secreted effectors based on word embedding and deep learning |
| 302 | -- | 312 | Vijayakumar Subramaniyan, Reetha Sekar, Arulmozhi Praveenkumar, Rajalakshmi Selvam. Molecular modeling studies of repandusinic acid as potent small molecule for hepatitis B virus through molecular docking and ADME analysis |
| 313 | -- | 326 | Zongliang Yue, Thanh Nguyen 0005, Eric Zhang, Jianyi Zhang, Jake Y. Chen. WIPER: Weighted in-Path Edge Ranking for biomolecular association networks |
| 327 | -- | 334 | Hao Feng, Hao Wu. Differential methylation analysis for bisulfite sequencing using DSS |
| 335 | -- | 337 | Feng Liu, Yihan Lin, Chunmei Li, Miaomiao Tian. Quantitative Biology 2019: Dynamic Signaling in Cells and Embryos |