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基本信息 The basic information
姓名: 陈伯林

学院: 计算机学院


学历: 博士研究生毕业

学位: 哲学博士


职称: 副教授

职务:


学科: 计算机科学与技术-计算机软件与理论


邮箱: blchen@nwpu.edu.cn




招生信息 Admission Information
Positions for master students in Computational Biology are now available. I am interested in recruiting high-caliber undergraduate students who have expertise in the areas of computer science, or applied mathematics. The students who are self-motivated and have publications in relevant scientific journals are encourages to apply.



Email: blchen[AT]nwpu.edu.cn




科学研究 Scientific Research
Researchareas
Researchareas include but not limit to computational and systems biology, genomic andproteomic data analysis, disease gene identification, protein complexidentification, dynamic network analysis, gene methylation data analysis etc.

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GrantInformation
[4] The mechanism of carcinogenesis and the identification of driving factors based on dynamic network analyses

supported by the National Natural Science Foundation of China (NSFC), No. **, CNY 620K, 2020-2023

[3] Feature self-learning method for complex disease gene identification
supported by the National Natural Science Foundation of China (NSFC), No. **, CNY 190K, 2017-2019
[2] Identifying disease related genes by using multiple data integration and logistic regression
supported by the Northwestern Polytechnical University (NPU) under the name of the fundamental research funds for the central Universities, No. **JSJ0011, CNY 100K, 2015-2016
[1] Identifying disease related genes by using multiple data integration and logistic regression
supported by the Northwestern Polytechnical University (NPU) under the name the startup fund for young professionals, No. **QD029, CNY 80K, 2015-2016



教育教学 Education And Teaching
本科课程（1）：
课程编号：U10M11127
课程名称：数据科学的数学方法 (Mathematical methods in data science)
开课信息：面向大数据专业大二第二学期学生、48课时、3学分
课程获得的资助信息：
(a) 2020年度校级教育教学改革研究项目
(b) 2020年度新工科建设典型案例

本科课程（2）：
课程编号：U10M11125
课程名称：生物大数据分析 (Biological big data analysis)
开课信息：面向大数据专业大三第一学期学生、40课时、2学分

硕士课程（1）：
课程编号：M10M22023 （中文授课）
课程名称：计算生物学 (Computational Biology)
开课信息：面向硕士一年级学生、40课时、2学分

硕士课程（2）：
课程编号：M10M22031 （全英文授课）
课程名称：生物信息学导论 (Introduction to Bioinformatics)
开课信息：面向硕士留学生、40课时、2学分





学术成果 Academic Achievements
Refereed JournalPapers



[18] B Chen,L Gao, XQ Shang^*. A two-way rectification method for identifyingdifferentially expressed genes by maximizing the co-function relationship. BMC Genomics (accepted, Impactfactor: 3.730)
[17] B Chen,MT Yang, L Gao, T Jiang, XQ Shang. A functional network construction method tointerpret the pathological process of colorectal cancer. International Journal of Data Mining andBioinformatics 2020, 23(3), 251-264 (Impact factor: 0.772)
[16] C Aouiche^(#), B Chen^(#,*), XQ Shang. PredictingStage-Specific Recurrent Aberrations From Somatic Copy Number Dataset. Frontiers in Genetics 2020, 11,160 (Impact factor: 3.258)

[15] C Aouiche^(#), B Chen^(#,*), XQ Shang. Predicting stage-stepcific cancer related genes and their dynamic modules by integrating multiple datasets. BMC Bioinformatics 2019, 20, 194 (Impact factor: 2.213)

[14] C Aouiche^(#), XQ Shang*, B Chen^(#,*). Copy number variation related disease genes. Quantitative Biology 2018, 6(2): 99-112.

[13] B Chen, XQ Shang, M Li, JX Wang, FX Wu*. Identifying individual-cancer-related genes by rebalancing the training samples. IEEE Transactions on Nanobioscience2016, 15(4), 309-315. (Impact factor: 1.969)

[12] XQ Shang, Y Wang, B Chen*. Identifying essential proteins based on dynamic PPI networks and RNA-Seq datasets. SCIENCE CHINAInformation Science 2016, 070106. (Impact factor: 0.885)

[11] T Jiang, ZH Li, XQ Shang, B Chen, WB Li, ZL Yin. Constrained query of order-preserving submatrix in gene expression data.Frontiers of Computer Science in China. 2016. Accepted.
[10] B Chen, M Li, JX Wang, XQ Shang and FX Wu. A fast and highperformance multiple data integration algorithm for identifying human diseasegenes. BMC Medical Genomics 2015,8(Suppl 3): S2. (Impact factor: 2.873)
[9] B Chen, M Li, JX Wang, FX Wu. Diseasegene identification by using graph kernels and Markov random fields. SCIENCE CHINA Life Sciences 2014, 57(11),1054-1063. (Impact factor: 1.512)
[8] W Fan, B Chen, G Selvaraj and FX Wu. Discovering biological patterns from short time-series gene expression profiles with integrating PPI data. Neurocomputing 2014, 145, 3-13.(Impact factor: 2.005, EI Compendex)
[7] B Chen, JX Wang, M Li and FX Wu. Identifying disease genesby integrating multiple data sources. BMCMedical Genomics 2014, 7(Suppl 2): S2. (Impact factor:3.914)
[6] J Sun, B Chen and FX Wu. An improved peptide-spectral matching algorithm through distributed search over multiple cores and multiple CPUs. Proteome Science 2014 12:18.(Impact factor: 1.878, equally contribution as the first author)
[5] B Chen, W Fan, J Liu and FX Wu. Identifying proteincomplexes and functional modules – from static PPI networks to dynamic PPInetworks. Briefings in Bioinformatics2014, 15(2), 177-194. (Impact factor: 5.919)
[4] B Chen and FX Wu. Identifyingprotein complexes based on multiple topological structures in PPI networks. IEEE Transactions on Nanobioscience 2013,12(3), 165-172. (Impact factor: 1.768, EI Compendex)
[3] J Shi, B Chen and FX Wu. Unifying protein inference and peptide identification with feedback to updated consistency between peptides. Proteomics 2013, 13(2), 237-247. (Impactfactor: 3.973)
[2] B Chen, J Shi, S Zhang and FX Wu. Identifyingprotein complexes in protein-protein interaction networks by using clique seedsand graph entropy. Proteomics2013, 13(2), 269-277. (Impact factor: 3.973)
[1] Z Yuan, J Shi, W Lin, B Chen and FXWu. Features-based deisotoping method for tandem mass spectra. Advancesin Bioinformatics 2011, Article ID 210805, 12 pages.
P.S. All the impact factors are based on thestate of the publication year.

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RefereedConference Papers:

[16] BChen, T Wang, and X Shang*. Identification and Analysis ofGenes Involved in Stages of Colon Cancer. IntelligentComputing Theories and Application (ICIC 2019), International Conference on Intelligent Computing,accepted. (EI Compendex)
[15] BChen, L Gao, and X Shang*. A machine learning based method toidentify differentially expressed genes. IntelligentComputing Theories and Application (ICIC 2020), International Conference on Intelligent Computing,accepted. (EI Compendex)
[14] BChen, L Gao, and X Shang*. Identifying functional evolutionprocesses according to the pathological stages of colorectal cancer. Bioinformatics and Biomedicine (BIBM),2019 IEEE International Conference on, 193-196. (EI Compendex)
[13] BChen, L Gao, and X Shang*. Identifying Differentially ExpressedGenes Based on Differentially Expressed Edges. Intelligent Computing Theories and Application (ICIC 2019), International Conference on Intelligent Computing,105-115. (EI Compendex)
[12] B Chen^(#,*), C Aouiche^(#), and X Shang. Integrating multiple datasets to discover stage-specific cancer related genes and stage-specific pathways. Bioinformatics and Biomedical Engineering (IWBBIO 2019), International Conference on, 240-250. (EI Compendex)

[11] P Luo, L Tian, B Chen, Q Xiao, and FX Wu*. Predicting disease genes from clinical single sample-based PPI networks. Bioinformatics and Biomedical Engineering (IWBBIO 2018), International Conference on, 247-258. (EI Compendex)

[10] P Luo, L Tian, B Chen, Q Xiao, and FX Wu*. Predicting gene-disease associations with manifold learning. Bioinformatics Research and Applications (ISBRA 2018), International Symposium on, 265-271. (EI Compendex)

[9] B Chen, Y Jin, and X Shang*. Net2Image: A network representation method for identifying cancer-related genes. Bioinformatics Research and Applications (ISBRA 2017), International Symposium on, 337-343. (EI Compendex)
[8] B Chen, XQ Shang, M Li, J Wang and FX Wu. A two-steplogistic regression based algorithm for identifying individual-cancer-relatedgenes. Bioinformatics and Biomedicine (BIBM), 2015 IEEEInternational Conference on, 195-200. (EI Compendex)

[7] B Chen, M Li, J Wang and FX Wu. A logisticregression based algorithm for identifying human disease genes.Bioinformatics and Biomedicine (BIBM), 2014 IEEE InternationalConference on, 197-200. (EI Compendex)
[6] B Chen, J Wang and FX Wu. Prioritizing humandisease genes by multiple data integration. Bioinformatics and Biomedicine (BIBM),2013 IEEE International Conference on, 621. (EI Compendex)
[5] B Chen, J Shi and FX Wu. Not all proteincomplexes exhibit dense structures in S. cerevisiae PPI network. Bioinformaticsand Biomedicine (BIBM), 2012 IEEE International Conference on,470-473. (EI Compendex)
[4] B Chen, Y Yan, J Shi, S Zhang and FX Wu. Animproved graph entropy-based method for identifying protein complexes. Bioinformaticsand Biomedicine (BIBM), 2011 IEEE International Conference on,123-126. (EI Compendex)
[3]J Shi, B Chen and FX Wu. Improving accuracy of peptide identificationwith consistency between peptides. Bioinformatics and Biomedicine (BIBM),2011 IEEE International Conference on, 191-196. (EI Compendex)
[2] B Chen, L Liu and FX Wu. Inferring generegulatory networks from multiple time course gene expression datasets. SystemsBiology (ISB), 2011 IEEE International Conference on, 12-17. (EI Compendex)
[1] B Chen. Topological patterns identificationfor sneak circuit analysis. Reliability, Maintainability and Safety, 2009,ICRMS 2009. 8th International Conference on, 133-137. (EI Compendex)



学术活动 Professional Activities
2019.Nov.18-21 BIBM 2019 - International Conference on Bioinformatics and Biomedicine, San Diego, USA
2018.Aug.23-25 CBC 2019 - Bioinformatics conference, Guangzhou, China
2019.Aug.03-06 ICIC 2019 - International Conference on Intelligent Computing, Nanchang, China
2019.Jun22-23 IDMB 2019 - International Conference on Data Science, Medicine, and Bioinformatics, Nanning, China
2019.May.05-08 IWBBIO 2019 - International Work-Conference on Bioinformatics and Biomedical Engineering, Granada, Spain
2018.Oct12-14 CBC 2018 - Bioinformatics conference, Xi'an, China
2018.Aug.18-21 ISB 2018 - International Conference on Computational Systems Biology, Guiyang, China
2018.Mar.04-08 Keystone Symposia 2018 - Manipulation of the gut microbiota for metabolic health, Canmore, Canada





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