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: "rates of dna sequence profiles for practical values of read lengths"
  Abstract: A recent study by one of the authors has demonstrated the importance of profile vectors in DNA-based data storage. We provide exact values and lower bounds on the number of profile vectors for finite values of alphabet size $q$, read length $\ell$, and word length $n$.Consequently, we demonstrate that for $q\ge 2$ and $n\le q^{\ell/2-1}$, the number of profile vectors is at least $q^{\kappa n}$ with $\kappa$ very close to one.In addition to enumeration results, we provide a set of efficient encoding and decoding algorithms for each of two particular families of profile vectors.

Connected through hyperedge HE-1 (induced by source paper "the capacity of associated subsequence retrieval"):
  with members:
    - "capacity results for the noisy shuffling channel"
    - "fundamental limits of dna storage systems"
    - "partial dna assembly a rate distortion perspective"
    - "asymmetric lee distance codes for dna based storage"
    - "do read errors matter for genome assembly"
    - "codes for dna sequence profiles"
    - "optimal dna shotgun sequencing noisy reads are as good as noiseless reads"
    - "information theory of dna shotgun sequencing"

Connected through hyperedge HE-2 (induced by source paper "repeat free codes"):
  with members:
    - "mutually uncorrelated codes for dna storage"
    - "evolution of k mer frequencies and entropy in duplication and substitution mutation systems"
    - "list decoding of insertions and deletions"
    - "bounds on codes correcting tandem and palindromic duplications"
    - "codes for dna sequence profiles"
    - "string reconstruction from substring compositions"

Connected through hyperedge HE-3 (induced by source paper "unique reconstruction of coded strings from multiset substring spectra"):
  with members:
    - "mutually uncorrelated codes for dna storage"
    - "on coding over sliced information"
    - "exact reconstruction from insertions in synchronization codes"
    - "codes correcting a burst of deletions or insertions"
    - "a rewritable random access dna based storage system"
    - "codes for dna sequence profiles"
    - "string reconstruction from substring compositions"

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.IT(Information Theory)