human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "an integrated e science analysis base for computation neuroscience experiments and analysis"
  Abstract: Abstract   Recent developments in data management and imaging technologies have significantly affected diagnostic and extrapolative research in the understanding of neurodegenerative diseases. However, the impact of these new technologies is largely dependent on the speed and reliability with which the medical data can be visualised, analysed and interpreted. The EU's  neuGRID for Users  (N4U) is a follow-on project to neuGRID, which aims to provide an integrated environment to carry out computational neuroscience experiments. This paper reports on the design and development of the N4U Analysis Base and related Information Services, which addresses existing research and practical challenges by offering an integrated medical data analysis environment with the necessary building blocks for neuroscientists to optimally exploit neuroscience workflows, large image datasets and algorithms in order to conduct analyses. The N4U Analysis Base enables such analyses by indexing and interlinking the neuroimaging and clinical study datasets stored on the N4U Grid infrastructure, algorithms and scientific workflow definitions along with their associated provenance information.

Connected through hyperedge HE-1 (induced by source paper "traceability and provenance in big data medical systems"):
  with members:
    - "cristal a practical study in designing systems to cope with change"
    - "providing traceability for neuroimaging analyses"
    - "experiences of engineering grid based medical software"

Connected through hyperedge HE-2 (induced by source paper "using cloud aware provenance to reproduce scientific workflow execution on cloud"):
  with members:
    - "provenance and data differencing for workflow reproducibility analysis"
    - "cloud computing and grid computing 360 degree compared"

Connected through hyperedge HE-3 (induced by source paper "development of a large scale neuroimages and clinical variables data atlas in the neugrid4you n4u project"):
  with members:
    - "providing traceability for neuroimaging analyses"

Connected through hyperedge HE-4 (induced by source paper "scientific workflow repeatability through cloud aware provenance"):
  with members:
    - "provenance and data differencing for workflow reproducibility analysis"
    - "cloud computing and grid computing 360 degree compared"

Connected through hyperedge HE-5 (induced by source paper "towards provenance and traceability in cristal for hep"):
  with members:
    - "cristal a practical study in designing systems to cope with change"
    - "providing traceability for neuroimaging analyses"

Connected through hyperedge HE-6 (induced by source paper "providing traceability for neuroimaging analyses"):
  with members:
    - "reusable services from the neugrid project for grid based health applications"
    - "research traceability using provenance services for biomedical analysis"
    - "cloud computing and grid computing 360 degree compared"
    - "experiences of engineering grid based medical software"
    - "pattern reification as the basis for description driven systems"
    - "mammogrid a service oriented architecture based medical grid application"
    - "the anatomy of the grid enabling scalable virtual organizations"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.SE(Software Engineering)