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徐巖

（北京科技大學數理學院教師教授博士生導師）

鎖定
徐巖，女，北京科技大學數理學院信息與計算科學系教授。 [1] 
中文名
徐巖
簡    歷
2003年畢業於吉林大學
科研方向
生物信息學、機器學習、深度學習、信號處理
職    業
教師

目錄

  1. 1 人物經歷
  2. 2 教學科研
  3. 3 主要貢獻
  4. ▪ 論文著作
  5. ▪ 科研業績

徐巖人物經歷

1997.09~2001.07 吉林大學數學系本科 [1] 
2001.09~2003.07 吉林大學數學所碩士 [1] 
2008.09~2012.07 中國農業大學理學院博士 [1] 
2016.03-2017.03 美國加州大學洛杉磯分校訪問
2018.07-2018.08 美國蒙特克萊爾州立大學訪問
2019.07-2019.07 英國鄧迪大學訪問

徐巖教學科研

  • 本科生課程:機器學習及其應用、概率論與數理統計等 [1] 
  • 研究生課程:實用機器學習技術 [1] 
  • 研究領域:生物信息學, 機器學習，深度學習、信號處理 [1] 

徐巖主要貢獻

徐巖論文著作

論文
  1. 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，IFS:5.101)
  2. 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IF:3.241) WOS: 000461165400007
  3. Yan 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IF:2.674) WOS: 000461654700002
  4. Yan 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IF:0.539) WOS：000461759900005
  5. Hongli 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IF:2.213) IDS：HM0DO, WOS: 000459116200003
  6. Yan 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IF:0.606), WOS: 000456522700001
  7. Meiqi 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IF:2.213) WOS: 000456522700001
  8. Yan 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IF:1.039), IDS: HA1DG, WOS:000449951200002
  9. Yan 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 IF:2.158), IDS: HA5YZ, WOS:000450357100004
  10. Xingyan 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 IF:3.191), IDS: GY2UI, WOS:000448398700005.
  11. 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 IF:2.115), IDS:GR5TH, WOS: 000442704300017
  12. Yan 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IF: 2.331), IDS:FD1UI, WOS: 000407321800006
  13. Li-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，IF:2.331) IDS:FD1UI, WOS: 000407321800007
  14. Yan 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 IF: ) IDS: EJ2CA; WOS:000393016300001
  15. Yan 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IF:) 5.578, IDS:ED8LT，WOS:000389123700001
  16. 16. 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IF:3.057), WOS:000374565100059, IDS: DJ9WX
  17. Yan 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IF:2.998), IDS:CV9CR, WOS:000364585400003, 引5, 2016 March. 文章50次
  18. 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 IF: 2.319 IDS:DE2NL，WOS:000370463900013)
  19. 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IF:2.116 IDS:CL3GZ，WOS:000356839700002)
  20. 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IF:4.112, IDS:CK8XP, WOS:000356523700001)
  21. 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 ONE 9(8), e105018 (3區, IF:3.534 IDS:AO0QT, WOS: 000341017000088), 2014.08.
  22. 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，IF:2.339 IDS: AI4NJ)
  23. 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IF:2.303 IDS:)
  24. 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, IF:2.177 IDS:V36CG, WOS: 000209190400001)
  25. 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IF:3.73 IDS: 092XV)
  26. 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IF:1.994 IDS:) 2013.
  27. 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IF:2.574 IDS:)
教材
2014.05 《大學文科數學》(上、下冊), 主編, 科學出版社. [1] 

徐巖科研業績

1. 2021.01~2024.12 蛋白質翻譯後修飾的深度特徵學習及預測 國家自然科學基金面上項目 負責人 在研 [1] 
2. 2020.06~2023.06 國家重點研發計劃子課題 基於機器學習的非公經濟主體身份識別 負責人 在研 [1] 
3. 2017.01~2020.12 整合成多標籤學習的蛋白質修飾預測 國家自然科學基金面上項目 負責人 在研
4. 2016.01-2016.12 整合成多標籤學習問題的修飾及功能 [1]  研究 教育部基礎科研業務費 負責人 [1] 
5. 2017.01-2017.12 計算生物學的若干問題研究 引智計劃 負責人 [1] 
6. 2014.01~2016.12 基於機器學習的蛋白質翻譯後修飾位點預測的研究 國家自然科學青年基金 負責人 [1] 
7. 2012.01~2014.12 微分算子環上的機械化算法與應用研究 國家自然科學青年基金 參與者 [1] 
8. 2010.1~2012.12多示例多標記學習中的最優化方法及其應用 國家自然科學基金 參與者 [1] 
參考資料