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Xin Gao
Xin Gao
Professor, Computer Sciences; Director, Computational Bioscience Research Center
Verified email at kaust.edu.sa - Homepage
Title
Cited by
Cited by
Year
Deep learning in bioinformatics: Introduction, application, and perspective in the big data era
Y Li, C Huang, L Ding, Z Li, Y Pan, X Gao
Methods 166, 4-21, 2019
3412019
DEEPre: sequence-based enzyme EC number prediction by deep learning
Y Li, S Wang, R Umarov, B Xie, M Fan, L Li, X Gao
Bioinformatics, btx680, 2017
2662017
Bioinformatics clouds for big data manipulation
L Dai, X Gao, Y Guo, J Xiao, Z Zhang
Biology direct 7 (1), 43, 2012
2002012
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis
L Zhou, Z Li, J Zhou, H Li, Y Chen, Y Huang, D Xie, L Zhao, M Fan, ...
IEEE Transactions on Medical Imaging 39 (8), 2638-2652, 2020
1962020
Recommendations and standardization of biomarker quantification using NMR-based metabolomics with particular focus on urinary analysis
AH Emwas, R Roy, RT McKay, D Ryan, L Brennan, L Tenori, C Luchinat, ...
Journal of proteome research 15 (2), 360-373, 2016
1582016
Recommended strategies for spectral processing and post-processing of 1D 1H-NMR data of biofluids with a particular focus on urine
AH Emwas, E Saccenti, X Gao, RT McKay, VAPM Dos Santos, R Roy, ...
Metabolomics 14, 1-23, 2018
1522018
Opa2vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction
FZ Smaili, X Gao, R Hoehndorf
Bioinformatics 35 (12), 2133-2140, 2019
1492019
Non-negative matrix factorization by maximizing correntropy for cancer clustering
JJY Wang, X Wang, X Gao
BMC bioinformatics 14, 1-11, 2013
1482013
Semantic similarity and machine learning with ontologies
M Kulmanov, FZ Smaili, X Gao, R Hoehndorf
Briefings in Bioinformatics, 2020
1472020
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization
P Han, P Yang, P Zhao, S Shang, Y Liu, J Zhou, X Gao, P Kalnis
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1392019
Learning from weak and noisy labels for semantic segmentation
Z Lu, Z Fu, T Xiang, P Han, L Wang, X Gao
IEEE transactions on pattern analysis and machine intelligence 39 (3), 486-500, 2017
1352017
Multiple graph regularized nonnegative matrix factorization
JJY Wang, H Bensmail, X Gao
Pattern Recognition 46 (10), 2840-2847, 2013
1282013
Onto2vec: joint vector-based representation of biological entities and their ontology-based annotations
FZ Smaili, X Gao, R Hoehndorf
Bioinformatics 34 (13), i52-i60, 2018
1262018
Towards artificial general intelligence via a multimodal foundation model
N Fei, Z Lu, Y Gao, G Yang, Y Huo, J Wen, H Lu, R Song, X Gao, T Xiang, ...
Nature Communications 13 (1), 1-13, 2022
1132022
mlDEEPre: Multi-functional enzyme function prediction with hierarchical multi-label deep learning
Z Zou, S Tian, X Gao, Y Li
Frontiers in Genetics 9, 714, 2018
1042018
DeepSimulator: a deep simulator for Nanopore sequencing
Y Li, R Han, C Bi, M Li, S Wang, X Gao
Bioinformatics 34 (17), 2899-2908, 2018
1032018
DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques
MA Thafar, RS Olayan, H Ashoor, S Albaradei, VB Bajic, X Gao, ...
Journal of Cheminformatics 12, 1-17, 2020
942020
Promoter analysis and prediction in the human genome using sequence-based deep learning models
R Umarov, H Kuwahara, Y Li, X Gao, V Solovyev
Bioinformatics 35 (16), 2730-2737, 2019
922019
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
X Chen, Y Li, R Umarov, X Gao, L Song
arXiv preprint arXiv:2002.05810, 2020
912020
Bridge helix bending promotes RNA polymerase II backtracking through a critical and conserved threonine residue
LT Da, F Pardo-Avila, L Xu, DA Silva, L Zhang, X Gao, D Wang, X Huang
Nature communications 7 (1), 11244, 2016
912016
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Articles 1–20