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: "a characterization of the dna data storage channel"
  Abstract: Owing to its longevity and enormous information density, DNA, the molecule encoding biological information, has emerged as a promising archival storage medium. However, due to technological constraints, data can only be written onto many short DNA molecules that are stored in an unordered way, and can only be read by sampling from this DNA pool. Moreover, imperfections in writing (synthesis), reading (sequencing), storage, and handling of the DNA, in particular amplification via PCR, lead to a loss of DNA molecules and induce errors within the molecules. In order to design DNA storage systems, a qualitative and quantitative understanding of the errors and the loss of molecules is crucial. In this paper, we characterize those error probabilities by analyzing data from our own experiments as well as from experiments of two different groups. We find that errors within molecules are mainly due to synthesis and sequencing, while imperfections in handling and storage lead to a significant loss of sequences. The aim of our study is to help guide the design of future DNA data storage systems by providing a quantitative and qualitative understanding of the DNA data storage channel.

Connected through hyperedge HE-1 (induced by source paper "dna based storage models and fundamental limits"):
  with members:
    - "capacity results for the noisy shuffling channel"
    - "fundamental limits of dna storage systems"
    - "exact reconstruction from insertions in synchronization codes"
    - "codes for dna sequence profiles"
    - "information theory of dna shotgun sequencing"

Connected through hyperedge HE-2 (induced by source paper "capacity results for the noisy shuffling channel"):
  with members:
    - "anchor based correction of substitutions in indexed sets"
    - "asymptotically optimal codes correcting fixed length duplication errors in dna storage systems"
    - "sequence subset distance and coding for error control in dna based data storage"
    - "codes in the space of multisets coding for permutation channels with impairments"
    - "fundamental limits of dna storage systems"
    - "exact reconstruction from insertions in synchronization codes"
    - "a rewritable random access dna based storage system"
    - "codes for dna sequence profiles"

Connected through hyperedge HE-3 (induced by source paper "anchor based correction of substitutions in indexed sets"):
  with members:
    - "efficient and explicit balanced primer codes"
    - "sequence subset distance and coding for error control in dna based data storage"
    - "codes in the space of multisets coding for permutation channels with impairments"
    - "on coding over sliced information"
    - "a rewritable random access dna based storage system"
    - "codes for dna sequence profiles"

Connected through hyperedge HE-4 (induced by source paper "clustering correcting codes"):
  with members:
    - "efficient and explicit balanced primer codes"
    - "mutually uncorrelated codes for dna storage"
    - "a rewritable random access dna based storage system"

Connected through hyperedge HE-5 (induced by source paper "coding over sets for dna storage"):
  with members:
    - "sequence subset distance and coding for error control in dna based data storage"
    - "codes in the space of multisets coding for permutation channels with impairments"
    - "on coding over sliced information"
    - "fundamental limits of dna storage systems"
    - "a rewritable random access dna based storage system"
    - "codes for dna sequence profiles"
    - "generalized sphere packing bound"

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.ET(Emerging Technologies)