Ge Gao

发表

PlantRegMap: charting functional regulatory maps in plants

Jinpu Jin, Feng Tian, Dechang Yang, 2019, Nucleic Acids Res..

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..

AnnoLnc: a web server for systematically annotating novel human lncRNAs

Fenglin Liu, Xing Tang, Feng Tian, 2016, bioRxiv.

AnnoLnc: a web server for systematically annotating novel human lncRNAs

Fenglin Liu, Ge Gao, Feng Tian, 2016, BMC Genomics.

Genomic Architecture of Cells in Tissues (GeACT): Study of Human Mid-gestation Fetus

X. Xie, F. Tang, Liying Yan, 2020, bioRxiv.

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

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

Multi-omics single-cell data integration and regulatory inference with graph-linked embedding

Ge Gao, Zhi-Jie Cao, 2022, Nature Biotechnology.

Interactome analysis identifies a new paralogue of XRCC4 in non-homologous end joining DNA repair pathway

S. Zha, Huanhuan Liang, L. Lan, 2015, Nature Communications.

An expanded landscape of human long noncoding RNA

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

Large-scale identification of recurrent RNA edits in human embryos suggests their role in enhancing maternal mRNA clearance

Xin Huang, Xiaochen Bo, Hao Li, 2022 .

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

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

Recurrent RNA edits in human preimplantation potentially enhance maternal mRNA clearance

Hao Li, Xin Huang, Xiaochen Bo, 2022, Communications Biology.

Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST

Dechang Yang, Ge Gao, Zhi-Jie Cao, 2020, Nature Communications.

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.

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

Yang Ding, Shen Jin, Ge Gao, 2018 .

SCALE method for single-cell ATAC-seq analysis via latent feature extraction

Tao Jiang, Lei Tang, Michael Q. Zhang, 2019, Nature Communications.

Cell BLAST: Searching large-scale scRNA-seq databases via unbiased cell embedding

Lin Wei, Ge Gao, Shen Lu, 2019, bioRxiv.

Recurrent RNA edits in human preimplantation potentially enhance maternal mRNA clearance

Hao Li, Xin Huang, Xiaochen Bo, 2022, Communications biology.

The nucleoskeleton protein IFFO1 immobilizes broken DNA and suppresses chromosome translocation during tumorigenesis

Yingfang Liu, Yujie Sun, M. Ding, 2019, Nature Cell Biology.

Multi-omics integration and regulatory inference for unpaired single-cell data with a graph-linked unified embedding framework

Ge Gao, Zhi-Jie Cao, 2021, bioRxiv.

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

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

Plant-on-chip: Core morphogenesis processes in the tiny plant Wolffia australiana

Lei Wang, Q. Ouyang, C. Luo, 2022, bioRxiv.

Quantitative model suggests both intrinsic and contextual features contribute to the transcript coding ability determination in cells

Shuai Jiang, Dechang Yang, Ge Gao, 2021, 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.

Direct Reconstruction of Gene Regulatory Networks underlying Cellular state Transitions without Pseudo-time Inference

Jinzhu Jia, F. Tang, Hao Ge, 2021, bioRxiv.

Mitosis-specific MRN complex promotes a mitotic signaling cascade to regulate spindle dynamics and chromosome segregation

Junjie Chen, R. Guo, Ge Gao, 2018, Proceedings of the National Academy of Sciences.

Ewing Tumor-associated Antigen 1 Interacts with Replication Protein A to Promote Restart of Stalled Replication Forks*

R. Guo, Ge Gao, W. Huo, 2016, The Journal of Biological Chemistry.

Spatial-linked alignment tool (SLAT) for aligning heterogenous slices

Ge Gao, Zhi-Jie Cao, Xinming Tu, 2023, bioRxiv.

Genome-Wide Identification of Gene Loss Events Suggests Loss Relics as a Potential Source of Functional lncRNAs in Humans

Dechang Yang, Ge Gao, Lan Ke, 2023, Molecular biology and evolution.

AnnoLnc: a web server for systematically annotating novel human lncRNAs

Xing Tang, Feng Tian, Ge Gao, 2016, bioRxiv.

LocExpress: a web server for efficiently estimating expression of novel transcripts

Shuai Jiang, Lei Kong, Feng Tian, 2016, BMC Genomics.

Decoding functional regulatory maps via genomic evolutionary footprints in 63 green plants

Jinpu Jin, Feng Tian, Dechang Yang, 2018, bioRxiv.

Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST

Lin Wei, Ge Gao, Shen Lu, 2020, Nature Communications.

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 .

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 .