0 | -- | 0 | Yiqian Zhang, Michiaki Hamada. DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning |
13 | -- | 24 | Zhoujian Xiao, Yuwei Zhang, Runsheng Yu, Yin Chen, Xiaosen Jiang, Ziwei Wang, Shuaicheng Li. In silico design of MHC class I high binding affinity peptides through motifs activation map |
25 | -- | 35 | Yuanlin Ma, Zuguo Yu, Guo-Sheng Han, Jinyan Li, Vo Anh. Identification of pre-microRNAs by characterizing their sequence order evolution information and secondary structure graphs |
37 | -- | 48 | Lichun Ma, Jie Zheng. Single-cell gene expression analysis reveals β-cell dysfunction and deficit mechanisms in type 2 diabetes |
49 | -- | 59 | Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Jie Yin, Jinyan Li. Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases |
61 | -- | 72 | Weijia Zhang, Thuc Duy Le, Lin Liu 0003, Jiuyong Li. Estimating heterogeneous treatment effect by balancing heterogeneity and fitness |
73 | -- | 81 | Cheng Yan, Jianxin Wang, Fang-Xiang Wu. DWNN-RLS: regularized least squares method for predicting circRNA-disease associations |
83 | -- | 94 | Maya Hirohara, Yutaka Saito, Yuki Koda, Kengo Sato, Yasubumi Sakakibara. Convolutional neural network based on SMILES representation of compounds for detecting chemical motif |
95 | -- | 104 | Yingying Wang, Hongyan Wu, Yunpeng Cai. A benchmark study of sequence alignment methods for protein clustering |
105 | -- | 124 | Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang 0035. Predicting protein-protein interactions using high-quality non-interacting pairs |
125 | -- | 134 | Xi Yang, Zhuo Song, Chengkun Wu, Wei Wang, Gen Li, Wei Zhang, Lingqian Wu, Kai Lu. Constructing a database for the relations between CNV and human genetic diseases via systematic text mining |
135 | -- | 145 | Lei Deng, Juan Pan, Xiaojie Xu, Wenyi Yang, Chuyao Liu, Hui Liu. PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine |
147 | -- | 155 | Shengbing Pei, Jihong Guan, Shuigeng Zhou. Classifying early and late mild cognitive impairment stages of Alzheimer's disease by fusing default mode networks extracted with multiple seeds |
157 | -- | 170 | Takashi Tajimi, Naoki Wakui, Keisuke Yanagisawa, Yasushi Yoshikawa, Masahito Ohue, Yutaka Akiyama. Computational prediction of plasma protein binding of cyclic peptides from small molecule experimental data using sparse modeling techniques |
171 | -- | 177 | Ko Abe, Masaaki Hirayama, Kinji Ohno, Teppei Shimamura. A latent allocation model for the analysis of microbial composition and disease |
179 | -- | 188 | Taosheng Xu, Ning Su, Lin Liu 0003, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le. miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase |