Kamu erişimi zorunlu olan makaleler - Qin MaDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 1
SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting
M Wang, X Cui, B Yu, C Chen, Q Ma, H Zhou
Neural Computing and Applications 32, 13843-13862, 2020
Zorunlu olanlar: US National Science Foundation, National Natural Science Foundation of China
Bir yerde sunuluyor: 115
scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
J Wang, A Ma, Y Chang, J Gong, Y Jiang, R Qi, C Wang, H Fu, Q Ma, ...
Nature communications 12 (1), 1882, 2021
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health
Interpretation of differential gene expression results of RNA-seq data: review and integration
A McDermaid, B Monier, J Zhao, B Liu, Q Ma
Briefings in bioinformatics 20 (6), 2044-2054, 2019
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health, US …
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
C Chen, Q Zhang, B Yu, Z Yu, PJ Lawrence, Q Ma, Y Zhang
Computers in biology and medicine 123, 103899, 2020
Zorunlu olanlar: US National Science Foundation, US Department of Agriculture, National …
LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion
C Chen, Q Zhang, Q Ma, B Yu
Chemometrics and Intelligent Laboratory Systems 191, 54-64, 2019
Zorunlu olanlar: US National Science Foundation, National Natural Science Foundation of China
Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure
H Shi, S Liu, J Chen, X Li, Q Ma, B Yu
Genomics 111 (6), 1839-1852, 2019
Zorunlu olanlar: US National Science Foundation, Chinese Academy of Sciences, National …
Integrative methods and practical challenges for single-cell multi-omics
A Ma, A McDermaid, J Xu, Y Chang, Q Ma
Trends in biotechnology 38 (9), 1007-1022, 2020
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health
Clustering and classification methods for single-cell RNA-sequencing data
R Qi, A Ma, Q Ma, Q Zou
Briefings in bioinformatics 21 (4), 1196-1208, 2020
Zorunlu olanlar: US National Institutes of Health, National Natural Science Foundation of China
A shared disease-associated oligodendrocyte signature among multiple CNS pathologies
M Kenigsbuch, P Bost, S Halevi, Y Chang, S Chen, Q Ma, R Hajbi, ...
Nature neuroscience 25 (7), 876-886, 2022
Zorunlu olanlar: US Department of Defense, US National Institutes of Health, Howard Hughes …
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting
B Yu, W Qiu, C Chen, A Ma, J Jiang, H Zhou, Q Ma
Bioinformatics 36 (4), 1074-1081, 2020
Zorunlu olanlar: US National Science Foundation, National Natural Science Foundation of China
Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique
X Wang, B Yu, A Ma, C Chen, B Liu, Q Ma
Bioinformatics 35 (14), 2395-2402, 2019
Zorunlu olanlar: US National Institutes of Health, National Natural Science Foundation of China
Microglia coordinate cellular interactions during spinal cord repair in mice
FH Brennan, Y Li, C Wang, A Ma, Q Guo, Y Li, N Pukos, WA Campbell, ...
Nature communications 13 (1), 4096, 2022
Zorunlu olanlar: US National Institutes of Health, National Natural Science Foundation of China
LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property
S Han, Y Liang, Q Ma, Y Xu, Y Zhang, W Du, C Wang, Y Li
Briefings in bioinformatics 20 (6), 2009-2027, 2019
Zorunlu olanlar: National Natural Science Foundation of China
Androgen conspires with the CD8+ T cell exhaustion program and contributes to sex bias in cancer
H Kwon, JM Schafer, NJ Song, S Kaneko, A Li, T Xiao, A Ma, C Allen, ...
Science immunology 7 (73), eabq2630, 2022
Zorunlu olanlar: US National Institutes of Health, Canadian Institutes of Health Research …
A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data
N Alghamdi, W Chang, P Dang, X Lu, C Wan, S Gampala, Z Huang, ...
Genome research 31 (10), 1867-1884, 2021
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health
Metabolomics and multi-omics integration: a survey of computational methods and resources
T Eicher, G Kinnebrew, A Patt, K Spencer, K Ying, Q Ma, R Machiraju, ...
Metabolites 10 (5), 202, 2020
Zorunlu olanlar: US National Institutes of Health
Single-cell biological network inference using a heterogeneous graph transformer
A Ma, X Wang, J Li, C Wang, T Xiao, Y Liu, H Cheng, J Wang, Y Li, ...
Nature Communications 14 (1), 964, 2023
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health, National …
scREAD: a single-cell RNA-Seq database for Alzheimer's disease
J Jiang, C Wang, R Qi, H Fu, Q Ma
Iscience 23 (11), 2020
Zorunlu olanlar: US National Science Foundation, US Department of Defense, US National …
DNNAce: prediction of prokaryote lysine acetylation sites through deep neural networks with multi-information fusion
B Yu, Z Yu, C Chen, A Ma, B Liu, B Tian, Q Ma
Chemometrics and intelligent laboratory systems 200, 103999, 2020
Zorunlu olanlar: US National Science Foundation, US Department of Agriculture, National …
It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data
J Xie, A Ma, A Fennell, Q Ma, J Zhao
Briefings in bioinformatics 20 (4), 1450-1465, 2019
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health
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