Yang Ding

发表

AnnoLnc: A One-Stop Portal to Systematically Annotate Novel Human Long Noncoding RNAs.

Dechang Yang, Ge Gao, Lan Ke, 2020, Methods in molecular biology.

AnnoLnc2: the one-stop portal to systematically annotate novel lncRNAs for human and mouse

Dechang Yang, Ge Gao, Lan Ke, 2020, Nucleic Acids Res..

Accurately annotate compound effects of genetic variants using a context-sensitive framework

Shuai Jiang, Huan Liu, Ge Gao, 2017, Nucleic acids research.

An expanded landscape of human long noncoding RNA

Yuan Lin, Shuai Jiang, Ge Gao, 2019, Nucleic acids research.

Markonv: a novel convolutional layer with inter-positional correlations modeled

Ge Gao, Yang Ding, Yu-Jian Kang, 2022, bioRxiv.

Identifying complex motifs in massive omics data with a variable-convolutional layer in deep neural network.

Ge Gao, Yang Ding, Jing-Yi Li, 2021, Briefings in bioinformatics.

Identifying complex sequence patterns in massive omics data with a variable-convolutional layer in deep neural network

Ge Gao, Yang Ding, Jing-Yi Li, 2021 .

Identifying complex sequence patterns with a variable-convolutional layer effectively and efficiently

Ge Gao, Yang Ding, Jing-Yi Li, 2021 .

Identifying complex motifs in massive omics data with a variable-convolutional layer in deep neural network

Ge Gao, Yang Ding, Jing-Yi Li, 2018, bioRxiv.

Identifying complex motifs in massive omics data with a variable-convolutional layer in deep neural network

Yang Ding, Ge Gao, Shen Jin, 2018, bioRxiv.

Systematically profiling and annotating long intergenic non-coding RNAs in human embryonic stem cell

Ge Gao, Z. Li, Xing Tang, 2013, BMC Genomics.

Expectation pooling: an effective and interpretable pooling method for predicting DNA–protein binding

Minghua Deng, Xiao Luo, Xinming Tu, 2019, bioRxiv.

Systematic identification and annotation of multiple-variant compound effects at transcription factor binding sites in human genome.

Shuai Jiang, Ge Gao, Yang Ding, 2018, Journal of genetics and genomics = Yi chuan xue bao.

An exact transformation of convolutional kernels applied directly to DNA/RNA sequences

Meng Wang, Yang Ding, Ge Gao, 2017, bioRxiv.

Identifying complex sequence patterns in massive omics data with a variable-convolutional layer in deep neural network

Ge Gao, Yang Ding, Jing-Yi Li, 2021 .

Effective identification of sequence patterns via 1 a new convolutional model with adaptively 2 learned kernels 3

Yang Ding, Jing-Yi Li, Shen Jin, 2020 .

An exact transformation for CNN kernel ena- bles accurate sequence motif identification and leads to a potentially full probabilistic in- terpretation of CNN

M. Wang, Ge Gao, Yang Ding, 2019 .

A new convolution model for effective bio-motif detection via rationally design the “black box”

Ge Gao, Yang Ding, Jing-Yi Li, 2018 .

An exact transformation of convolutional kernels enables accurate identification of sequence motifs

Yang Ding, Jing-Yi Li, Ge Gao, 2018 .

Deliver Bioinformatics Services in Public Cloud: Challenges and Research Framework

Yang Ding, Wei Sun, Changjie Guo, 2011, 2011 IEEE 8th International Conference on e-Business Engineering.