Xin Gao

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Juexiao ZhouPhD Candidate, King Abdullah University of Science and TechnologyEmail confirmado em kaust.edu.sa
hiroyuki kuwaharaResearch Scientist at KAUSTEmail confirmado em kaust.edu.sa
Ming FanHangzhou Dianzi UniversityEmail confirmado em hdu.edu.cn
Jing-Yan WangResearch Scientist, New York UniversityEmail confirmado em nyu.edu
Haoyang LiPhD candidate, King Abdullah University of Science and TechnologyEmail confirmado em kaust.edu.sa
Sheng WangZelixir BiotechEmail confirmado em zelixir.com
Ramzan UmarovPostdoctoral researcher, RIKENEmail confirmado em riken.jp
Xiangliang ZhangLeonard C. Bettex Collegiate Professor, Computer Science and Engineering, University of Notre DameEmail confirmado em nd.edu
Robert HoehndorfKing Abdullah University of Science and TechnologyEmail confirmado em kaust.edu.sa
Xuhui HuangHirschfelder Chair in Theoretical Chemistry, University of Wisconsin-Madison (previously at HKUST)Email confirmado em chem.wisc.edu
Somayah AlbaradeiPhDEmail confirmado em kaust.edu.sa
Fatima Zohra SmailiMcGill UniversityEmail confirmado em mail.mcgill.ca
Meshari AlazmiAssociate Professor, University of Ha'ilEmail confirmado em kaust.edu.sa
Maha A. ThafarAssistant Professor of Computer Science (CS), Taif University (TU), KUAST AlumniEmail confirmado em kaust.edu.sa
Abdul-Hamid EmwasKAUSTEmail confirmado em kaust.edu.sa
Renmin Han (韩仁敏)Research Center for Mathematics and Interdisciplinary Sciences, Shandong UniversityEmail confirmado em sdu.edu.cn
Stefan AroldProfessor of Bioscience at King Abdullah University of Science and Technology (KAUST)Email confirmado em kaust.edu.sa
Wenkai HanBroad Institute of MIT and HarvardEmail confirmado em broadinstitute.org
Lizhong Ding (丁立中)Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAEEmail confirmado em inceptioniai.org
Peng YangMetaEmail confirmado em fb.com

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Xin Gao

Professor, Computer Sciences; Director, Computational Bioscience Research Center

Email confirmado em kaust.edu.sa - Página inicial

Bioinformatics computational biology machine learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	393	2019
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	291	2017
Bioinformatics clouds for big data manipulation L Dai, X Gao, Y Guo, J Xiao, Z Zhang Biology direct 7 (1), 43, 2012	210	2012
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	208	2020
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	206	2022
Semantic similarity and machine learning with ontologies M Kulmanov, FZ Smaili, X Gao, R Hoehndorf Briefings in Bioinformatics, 2020	190	2020
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	174	2018
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	169	2019
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	168	2016
Opportunities and challenges for ChatGPT and large language models in biomedicine and health S Tian, Q Jin, L Yeganova, PT Lai, Q Zhu, X Chen, Y Yang, Q Chen, ... Briefings in Bioinformatics 25 (1), bbad493, 2024	167	2024
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	160	2019
Non-negative matrix factorization by maximizing correntropy for cancer clustering JJY Wang, X Wang, X Gao BMC bioinformatics 14, 1-11, 2013	151	2013
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	146	2018
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	138	2017
Multiple graph regularized nonnegative matrix factorization JJY Wang, H Bensmail, X Gao Pattern Recognition 46 (10), 2840-2847, 2013	132	2013
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	121	2020
RNA Secondary Structure Prediction By Learning Unrolled Algorithms X Chen, Y Li, R Umarov, X Gao, L Song arXiv preprint arXiv:2002.05810, 2020	120	2020
Transfer-medium-free nanofiber-reinforced graphene film and applications in wearable transparent pressure sensors H Ren, L Zheng, G Wang, X Gao, Z Tan, J Shan, L Cui, K Li, M Jian, L Zhu, ... Acs Nano 13 (5), 5541-5548, 2019	113	2019
Machine learning and deep learning methods that use omics data for metastasis prediction S Albaradei, M Thafar, A Alsaedi, C Van Neste, T Gojobori, M Essack, ... Computational and Structural Biotechnology Journal 19, 5008-5018, 2021	112	2021
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	112	2018

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