Qin Ma

Overview

Best Publications

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

  Juexin Wang;Anjun Ma;Yuzhou Chang;Jianting Gong

  416
  Citations

• QUBIC: a qualitative biclustering algorithm for analyses of gene expression data

  Guojun Li;Qin Ma;Haibao Tang;Andrew H. Paterson

  319
  Citations

• Interpretation of differential gene expression results of RNA-seq data: review and integration

  Adam McDermaid;Brandon Monier;Jing Zhao;Bingqiang Liu

  293
  Citations

• LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion

  Cheng Chen;Qingmei Zhang;Qin Ma;Bin Yu

  270
  Citations

• Integrative Methods and Practical Challenges for Single-Cell Multi-omics.

  Anjun Ma;Adam McDermaid;Adam McDermaid;Jennifer Xu;Jennifer Xu;Yuzhou Chang

  268
  Citations

• Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier

  Cheng Chen;Qingmei Zhang;Bin Yu;Bin Yu;Zhaomin Yu

  230
  Citations

• Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure

  Han Shi;Simin Liu;Simin Liu;Junqi Chen;Junqi Chen;Xuan Li

  218
  Citations

• A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data.

  Norah Alghamdi;Wennan Chang;Wennan Chang;Pengtao Dang;Pengtao Dang;Xiaoyu Lu

  202
  Citations

• Clustering and classification methods for single-cell RNA-sequencing data.

  Ren Qi;Anjun Ma;Qin Ma;Quan Zou

  199
  Citations

• DOOR 2.0: presenting operons and their functions through dynamic and integrated views.

  Xizeng Mao;Qin Ma;Chuan Zhou;Xin Chen

  197
  Citations

• SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting.

  Bin Yu;Wenying Qiu;Cheng Chen;Anjun Ma

  167
  Citations

• Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique.

  Xiaoying Wang;Xiaoying Wang;Bin Yu;Bin Yu;Anjun Ma;Anjun Ma;Cheng Chen

  154
  Citations

• Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources

  Tara Eicher;Tara Eicher;Garrett Kinnebrew;Andrew Patt;Andrew Patt;Kyle Spencer

  153
  Citations

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

  Jing Jiang;Cankun Wang;Ren Qi;Hongjun Fu

  147
  Citations

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

  Siyu Han;Yanchun Liang;Qin Ma;Yangyi Xu

  144
  Citations

• Network analyses in microbiome based on high-throughput multi-omics data.

  Zhaoqian Liu;Anjun Ma;Ewy A. Mathé;Marlena Merling

  87
  Citations

• Gene regulatory networks for lignin biosynthesis in switchgrass (Panicum virgatum)

  Xiaolan Rao;Xiaolan Rao;Xin Chen;Hui Shen;Hui Shen;Qin Ma

  84
  Citations

• Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks

  Juexin Wang;Anjun Ma;Qin Ma;Dong Xu

  78
  Citations

• Systems-level understanding of ethanol-induced stresses and adaptation in E. coli.

  Huansheng Cao;Du Wei;Du Wei;Yuedong Yang;Yu Shang;Yu Shang

  78
  Citations

• It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data.

  Juan Xie;Anjun Ma;Anne Fennell;Qin Ma

  73
  Citations

• QUBIC: a Bioconductor package for qualitative biclustering analysis of gene co-expression data

  Yu Zhang;Juan Xie;Jinyu Yang;Anne Fennell

  65
  Citations

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

  Jinyu Yang;Jinyu Yang;Anjun Ma;Adam D Hoppe;Cankun Wang

  64
  Citations

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

  Juexin Wang;Anjun Ma;Yuzhou Chang;Jianting Gong

  9
  Citations