Cankun Wang

发表

IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq

Faith H. Brennan, P. Popovich, Qin Ma, 2020, Nucleic Acids Res..

Improved Draft Genome Sequence of Pseudomonas poae A2-S9, a Strain with Plant Growth-Promoting Activity

N. Kyrpides, N. Shapiro, T. Woyke, 2019, Microbiology Resource Announcements.

Improved Draft Genome Sequence of Bacillus sp. Strain YF23, Which Has Plant Growth-Promoting Activity

N. Kyrpides, N. Shapiro, T. Woyke, 2019, Microbiology Resource Announcements.

scREAD: A Single-Cell RNA-Seq Database for Alzheimer's Disease

H. Fu, Qin Ma, Cankun Wang, 2020, iScience.

Microglia coordinate cellular interactions during spinal cord repair in mice

Faith H. Brennan, Qi Guo, D. McTigue, 2022, Nature Communications.

Wolframin is a novel regulator of tau pathology and neurodegeneration

L. Honig, F. Urano, J. Kuret, 2022, Acta Neuropathologica.

Water Deficit Transcriptomic Responses Differ in the Invasive Tamarix chinensis and T. ramosissima Established in the Southern and Northern United States

S. Clay, A. Fennell, J. Gaskin, 2020, Plants.

Assessing deep learning algorithms in cis-regulatory motif finding based on genomic sequencing data

Yan Wang, Dong Xu, Qin Ma, 2020, bioRxiv.

Molecular Regulation of Heme Oxygenase-1 Expression by E2F Transcription Factor 2 in Lung Fibroblast Cells: Relevance to Idiopathic Pulmonary Fibrosis

Heather Wang, Yutong Zhao, N. Parinandi, 2022, Biomolecules.

DESSO-DB: A web database for sequence and shape motif analyses and identification

Qin Ma, Anjun Ma, Cankun Wang, 2022, Computational and structural biotechnology journal.

NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health.

Philip D. Blood, Ellen M. Quardokus, Matthew A. Wyczalkowski, 2022, Nature aging.

Spatially resolved transcriptomics reveals genes associated with the vulnerability of middle temporal gyrus in Alzheimer’s disease

Qi Guo, G. Serrano, D. Scharre, 2022, Acta neuropathologica communications.

Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data

H. Fu, Qin Ma, Anjun Ma, 2022, bioRxiv.

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

Dong Xu, H. Fu, Juexin Wang, 2021, Nature Communications.

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

Dong Xu, Qin Ma, Yuexu Jiang, 2020, Nature Communications.

Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model

F. Zhou, Yan Wang, W. Du, 2019, Scientific Reports.

QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data.

Juan Xie, Qin Ma, Chi Zhang, 2020, Bioinformatics.

QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data

Bingqiang Liu, Qin Ma, Sha Cao, 2019, Bioinform..

Machine learning development environment for single-cell sequencing data analyses

Juexin Wang, Qin Ma, Anjun Ma, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

LPInsider: a webserver for lncRNA–protein interaction extraction from the literature

Siyu Han, Wei Du, Cankun Wang, 2022, BMC Bioinform..

Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework

Yan Wang, Bingqiang Liu, Qin Ma, 2019, Nucleic acids research.

scREAD: A Single-Cell RNA-Seq Database for Alzheimer's Disease

Qin Ma, Jing Jiang, Cankun Wang, 2020, bioRxiv.

Single-cell biological network inference using a heterogeneous graph transformer

Juexin Wang, Duolin Wang, Anjun Ma, 2023, Nature Communications.

DeepMAPS: Single-cell biological network inference using heterogeneous graph transformer

Juexin Wang, Qin Ma, Zihai Li, 2021 .

Biological network inference from single-cell multi-omics data using heterogeneous graph transformer

Lingtao Su, Juexin Wang, Zihai Li, 2021, bioRxiv.

Spatially resolved transcriptomics reveals unique gene signatures associated with human temporal cortical architecture and Alzheimer’s pathology

T. Beach, G. Serrano, Qin Ma, 2021, bioRxiv.

Use of scREAD to explore and analyze single-cell and single-nucleus RNA-seq data for Alzheimer’s disease

Qin Ma, Cankun Wang, H. Fu, 2021, STAR protocols.

CirRNAPL: A web server for the identification of circRNA based on extreme learning machine

Qin Ma, Quan Zou, Cankun Wang, 2020, Computational and structural biotechnology journal.

IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis

Qin Ma, Jing Zhao, Cankun Wang, 2019, PLoS Comput. Biol..

GeneQC: A quality control tool for gene expression estimation based on RNA-sequencing reads mapping

Qin Ma, Juan Xie, Xin Chen, 2018, bioRxiv.

LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property

Yanchun Liang, Wei Du, Qin Ma, 2018, Briefings Bioinform..

De novo Prediction of Moonlighting Proteins Using Multimodal Deep Ensemble Learning

Siyu Han, Wei Du, Cankun Wang, 2021, Frontiers in Genetics.

Impaired Human Cardiac Cell Development due to NOTCH1 Deficiency

Joe Z. Zhang, V. Garg, I. Deschênes, 2022, Circulation research.

A New Machine Learning-Based Framework for Mapping Uncertainty Analysis in RNA-Seq Read Alignment and Gene Expression Estimation

Juan Xie, Xin Chen, Qin Ma, 2018, Front. Genet..

Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations

Ying Li, Siyu Han, Qin Ma, 2020, Briefings Bioinform..

A bioinformatics tool for identifying intratumoral microbes from the ORIEN dataset

M. McCarter, M. Churchman, G. Riedlinger, 2023, bioRxiv.

Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model

Jing Zhao, Yanchun Liang, Wei Du, 2019, Scientific Reports.

Identification of HPV oncogene and host cell differentiation associated cellular heterogeneity in cervical cancer via single-cell transcriptomic analysis

Cankun Wang, Xuefeng Liu, A. Ma, 2023, bioRxiv.

Identification of HPV oncogene and host cell differentiation associated cellular heterogeneity in cervical cancer via single‐cell transcriptomic analysis

Cankun Wang, Xuefeng Liu, A. Ma, 2023, Journal of medical virology.

Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data

Qi Guo, Qin Ma, Cankun Wang, 2023, bioRxiv.

ssREAD: A Single-cell and Spatial RNA-seq Database for Alzheimer’s Disease

Cankun Wang, A. Ma, Megan McNutt, 2023, bioRxiv.

CEMIG: prediction of the cis-regulatory motif using the de Bruijn graph from ATAC-seq

Qin Ma, Cankun Wang, Bingqiang Liu, 2023, bioRxiv.

MAPLE: A Hybrid Framework for Multi-Sample Spatial Transcriptomics Data

Dongjun Chung, Cankun Wang, Yuzhou Chang, 2024, bioRxiv.

A single-cell and spatial RNA-seq database for Alzheimer’s disease (ssREAD)

Cankun Wang, A. Ma, Megan McNutt, 2024, Nature communications.

A Single-cell and Spatial RNA-seq Database for Alzheimer’s Disease (ssREAD)

Cankun Wang, A. Ma, Megan McNutt, 2023, bioRxiv.

A Weighted Two-stage Sequence Alignment Framework to Identify DNA Motifs from ChIP-exo Data

Qin Ma, A. Fennell, Cankun Wang, 2023, bioRxiv.

Autoencoder to Identify Sex-Specific Sub-phenotypes in Alzheimer’s Disease Progression Using Longitudinal Electronic Health Records

Cankun Wang, A. Ma, Yu Huang, 2024, medRxiv.