人物經(jīng)歷
1997.09~2001.07 吉林大學(xué)數(shù)學(xué)系本科
2001.09~2003.07 吉林大學(xué)數(shù)學(xué)所碩士
2008.09~2012.07 中國農(nóng)業(yè)大學(xué)理學(xué)院博士
2016.03-2017.03 美國加州大學(xué)洛杉磯分校訪問
2018.07-2018.08 美國蒙特克萊爾州立大學(xué)訪問
2019.07-2019.07 英國鄧迪大學(xué)訪問
教學(xué)科研
本科生課程:機(jī)器學(xué)習(xí)及其應(yīng)用、概率論與數(shù)理統(tǒng)計(jì)等研究生課程:實(shí)用機(jī)器學(xué)習(xí)技術(shù)研究領(lǐng)域:生物信息學(xué), 機(jī)器學(xué)習(xí),深度學(xué)習(xí)、信號(hào)處理主要貢獻(xiàn)
論文著作
論文
- Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng,Yan Xu*. Joint sample and feature selection via sparse primal and dual LSSVM.Knowledge-Based System. 2019. August. (SCI 2區(qū),IFS:5.101)Chun-Na Li,Meng-Qi Shang, Yuan-Hai Shao,Yan Xu*,Li-Ming Liu,Zhen Wang. Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization.Neurocomputing. 2019.April.14.Vol.337: 80-96. (SCI, 2區(qū)IF:3.241) WOS: 000461165400007Yan Xu, Xingyan Li, Yingxi Yang, Chunhui Li*, Xiaojian Shao. Human age prediction based on DNA methylation of non-blood tissues.Computer Methods and Programs in Biomedicine. 2019. April. Vol.171: 11-18. (SCI, 2區(qū)IF:2.674) WOS: 000461654700002Yan Xu, Yingxi Yang, Zu Wang, Yuanhai Shao*. Prediction of Acetylation and Succinylation in Proteins based on Multi-label Learning RankSVM.Letters in Organic Chemistry. 2019, March. Vol. 16(4): 275-282 (4區(qū)IF:0.539) WOS:000461759900005Hongli Fu, Yingxi Yang, Hui Wang,Yan Xu*. DeepUbi:a deep learning framework for prediction of ubiquitination sites in proteins.BMC Bioinformatics. 2019, Feb.18. Vol.20(1):86. (SCI, 2區(qū)IF:2.213) IDS:HM0DO, WOS: 000459116200003Yan Xu, Yingxi Yang, Hui Wang, Yuanhai Shao*. Lysine Malonylation Identification in E.coli with Multiple Features.Current Proteomics. 2019. Feb.Vol.16(3). 166-174. (4區(qū)IF:0.606), WOS: 000456522700001Meiqi Wu, Yingxi Yang, Hui Wang,Yan Xu*. A deep learning method to more accurately recall known lysine acetylation sites.BMC Bioinformatics. 2019, Jan. 23. Vol.20(1):49. (2區(qū)IF:2.213) WOS: 000456522700001Yan Xu, Yingxi Yang, Zu Wang, Chunhui Li, Yuanhai Shao*. A systematic review on posttranslational modification in proteins: feature construction, algorithm and webserver.Protein and Peptide Letters. 2018, Dec. Vol. 25(9): 807-814. (4區(qū)IF:1.039), IDS: HA1DG, WOS:000449951200002Yan Xu, Yingxi Yang, Jun Ding, Chunhui Li*. iGlu-Lys: A Predictor for Lysine Glutarylation through Amino Acid Pair Order Features.IEEE Transactions on NanoBioscience. 2018, Oct. Vol.17(4):394-401. (3區(qū) IF:2.158), IDS: HA5YZ, WOS:000450357100004Xingyan Li,Weidong Li,Yan Xu*. Human Age Prediction Based on DNA Methylation Using a Gradient Boosting Regressor.Genes, 2018, (August. 21) Vol. 9. 424. (3區(qū) IF:3.191), IDS: GY2UI, WOS:000448398700005.Yingxi Yang, Hui Wang, Jun Ding,Yan Xu*. iAcet-Sumo: identification of lysine acetylation and sumoylation sites in proteins by multi-class transformation methods.Computers in Biology and Medicine. 2018, July. Vol.100:144-151. PMID: 30015011 (4區(qū) IF:2.115), IDS:GR5TH, WOS: 000442704300017Yan Xu, Zu Wang, Chunhui Li*, Kuo-Chen Chou. iPreny-PseAAC: Identify C-terminal Cysteine Prenylation Sites in Proteins by Incorporating Two Tiers of Sequence Couplings into PseAAC.Medicinal Chemistry. 2017, May.Vol.13(6), 544-551. (4區(qū)IF: 2.331), IDS:FD1UI, WOS: 000407321800006Li-Ming Liu,Yan Xu*,Kuo-Chen Chou. iPGK-PseAAC: identify lysine phosphoglycerylation sites in proteins by incorporating four different tiers of amino acid pairwise coupling information into the general PseAAC.Medicinal Chemistry. 2017, May.Vol 13(6), 552-559, (4區(qū),IF:2.331) IDS:FD1UI, WOS: 000407321800007Yan Xu, Li Li, Jun Ding, Ling-Yun Wu,Guoqin Mai*, Fengfeng Zhou*. Gly-PseAAC: identifying protein lysine glycation through sequences.Gene. 2017 Feb.20.602:1-7.(3區(qū) IF: ) IDS: EJ2CA; WOS:000393016300001Yan Xu, Ya-Xin Ding, Jun Ding, Ling-Yun Wu, Yu Xue*. Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection.Scientific Reports. 2016.12.02, Vol6.38318. (3區(qū)IF:5.578, IDS:ED8LT,WOS:00038912370000116.Yan Xu*, Jun Ding, Ling-Yun Wu. iSulf-Cys: prediction of S-sulfenylation sites in proteins with physicochemical properties of amino acids.PloS One. 2016.11(4): e0154237. 2016. April. (3區(qū)IF:3.057), WOS:000374565100059, IDS: DJ9WXYan Xu*, Kuo-Chen Chou. Recent progress in predicting posttranslational modification sites in proteins.Current Topics in Medicinal Chemistry. 2016.16(6),591-603 (3區(qū)IF:2.998), IDS:CV9CR, WOS:000364585400003, 引5, 2016 March. 文章50次Yan Xu, Ya-Xin Ding, Nai-Yang Deng, Li-Ming Liu*. Prediction of Sumoylation Sites in Proteins Using Linear Discriminant Analysis.Gene. 2016. Jan.15 576:99-104. (3區(qū) IF: 2.319 IDS:DE2NL,WOS:000370463900013)Yan Xu*, Ya-Xin Ding, Jun Ding, Ling-Yun Wu, Nai-Yang Deng. Phogly-PseAAC: prediction of lysine phosphoglycerylation in proteins incorporating with position-specific propensity.Journal of Theoretical Biology. 2015.08.21, (379)10-15. (3區(qū)IF:2.116 IDS:CL3GZ,WOS:000356839700002)Yan Xu*, Ya-Xin Ding, Jun Ding, Ya-Hui Lei, Nai-Yang Deng. iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity.Scientific Reports. 2015.06.18 .Vol5.10184. (3區(qū)IF:4.112, IDS:CK8XP, WOS:000356523700001)Yan Xu*,Xin Wen, Li-Shu Wen, Ling-Yun Wu, Nai-Yang Deng, Kuo-Chen Chou. iNitro-Tyr: Prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition.PLoS ONE9(8), e105018 (3區(qū), IF:3.534 IDS:AO0QT, WOS: 000341017000088), 2014.08.Yan Xu*, Xin Wen, Xiao-Jian Shao, Nai-Yang Deng, Kuo-Chen Chou. iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition.International Journal of Molecular Sciences. 2014, May, 5. 15:7594-7610. (3區(qū),IF:2.339 IDS: AI4NJ)Yan Xu*, Xiao-Bo Wang, Yong-Cui Wang, Ying-Jie Tian, Xiao-Jian Shao, Ling-Yun Wu, Nai-Yang Deng. Prediction of Posttranslational Modification Sites from Sequences with Kernel Methods.Journal of Theoretical Biology. 2014. March 7. 7:344, 78-87.( 3區(qū)IF:2.303 IDS:)Yan Xu*, Xiao-Jian Shao, Ling-Yun Wu, Nai-Yang Deng, Kuo-Chen Chou. iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins.PeerJ. 2013 Oct 3. 1:e171. (3區(qū), IF:2.177 IDS:V36CG, WOS: 000209190400001)YanXu*, Jun Ding, Ling-Yun Wu, Kuo-Chen Chou.iSNO-PseAAC: Predict Cysteine S-nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition,PLoS One, 8(2), e55844, 2013.Feb. (3區(qū)IF:3.73 IDS: 092XV)Yan Xu*, Jun Ding, Qiang Huang, Nai-Yang Deng. Prediction of Protein Methylation Sites using Conditional Random Field.Protein and Peptide Letters, 20(1), 71-77 (4區(qū)IF:1.994 IDS:) 2013.Yan Xu, Xiao-Bo Wang, Jun Ding, Ling-Yun Wu, Nai-Yang Deng*. Lysine acetylation sites prediction using an ensemble of support vector machine classifers.Journal of Theoretical Biology. 2010, vol. 264,130-135. (3區(qū)IF:2.574 IDS:)
教材
2014.05 《大學(xué)文科數(shù)學(xué)》(上、下冊(cè)), 主編, 科學(xué)出版社.
科研業(yè)績
1. 2021.01~2024.12 蛋白質(zhì)翻譯后修飾的深度特征學(xué)習(xí)及預(yù)測 國家自然科學(xué)基金面上項(xiàng)目 負(fù)責(zé)人 在研
2. 2020.06~2023.06 國家重點(diǎn)研發(fā)計(jì)劃子課題 基于機(jī)器學(xué)習(xí)的非公經(jīng)濟(jì)主體身份識(shí)別 負(fù)責(zé)人 在研
3. 2017.01~2020.12 整合成多標(biāo)簽學(xué)習(xí)的蛋白質(zhì)修飾預(yù)測 國家自然科學(xué)基金面上項(xiàng)目 負(fù)責(zé)人 在研
4. 2016.01-2016.12 整合成多標(biāo)簽學(xué)習(xí)問題的修飾及功能研究 教育部基礎(chǔ)科研業(yè)務(wù)費(fèi) 負(fù)責(zé)人
5. 2017.01-2017.12 計(jì)算生物學(xué)的若干問題研究 引智計(jì)劃 負(fù)責(zé)人
6. 2014.01~2016.12 基于機(jī)器學(xué)習(xí)的蛋白質(zhì)翻譯后修飾位點(diǎn)預(yù)測的研究 國家自然科學(xué)青年基金 負(fù)責(zé)人
7. 2012.01~2014.12 微分算子環(huán)上的機(jī)械化算法與應(yīng)用研究 國家自然科學(xué)青年基金 參與者
8. 2010.1~2012.12多示例多標(biāo)記學(xué)習(xí)中的最優(yōu)化方法及其應(yīng)用 國家自然科學(xué)基金 參與者