Journal: BMC Bioinformatics

Volume 19-S, Issue 19

0 -- 0Yiqian Zhang, Michiaki Hamada. DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning
13 -- 24Zhoujian 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 -- 35Yuanlin 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 -- 48Lichun Ma, Jie Zheng. Single-cell gene expression analysis reveals β-cell dysfunction and deficit mechanisms in type 2 diabetes
49 -- 59Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Jie Yin, Jinyan Li. Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases
61 -- 72Weijia Zhang, Thuc Duy Le, Lin Liu 0003, Jiuyong Li. Estimating heterogeneous treatment effect by balancing heterogeneity and fitness
73 -- 81Cheng Yan, Jianxin Wang, Fang-Xiang Wu. DWNN-RLS: regularized least squares method for predicting circRNA-disease associations
83 -- 94Maya Hirohara, Yutaka Saito, Yuki Koda, Kengo Sato, Yasubumi Sakakibara. Convolutional neural network based on SMILES representation of compounds for detecting chemical motif
95 -- 104Yingying Wang, Hongyan Wu, Yunpeng Cai. A benchmark study of sequence alignment methods for protein clustering
105 -- 124Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang 0035. Predicting protein-protein interactions using high-quality non-interacting pairs
125 -- 134Xi 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 -- 145Lei Deng, Juan Pan, Xiaojie Xu, Wenyi Yang, Chuyao Liu, Hui Liu. PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine
147 -- 155Shengbing 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 -- 170Takashi 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 -- 177Ko Abe, Masaaki Hirayama, Kinji Ohno, Teppei Shimamura. A latent allocation model for the analysis of microbial composition and disease
179 -- 188Taosheng 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