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Data Mining Journals Impact Factor

  Data Mining Journals  Impact Factor complies that Through the fast advancement of proteomics techniques and advances, a gigantic measure of information was made, prompting a wide-spread reevaluating of system structure and information understanding. In Data Mining in Proteomics: From Standards to Applications, specialists in the field present these new bits of knowledge inside the proteomics network, accepting the verifiable development just as the most significant universal normalization ventures into account. Alongside essential and advanced outlines of proteomics advances, standard information configurations, and databases, the volume highlights parts on information understanding techniques including insights, spectra translation, and examination conditions just as specific assignments, for example, information comment, top picking, phosphoproteomics, range libraries, LC/MS imaging, and join isoforms. As a piece of the exceptionally effective Methods in Molecular Biology arrangement, this work gives the sort of point by point depiction and usage exhortation that is essential for getting ideal outcomes. Definitive and bleeding edge, Data Mining in Proteomics: From Standards to Applications is an even summary for tenderfoots and specialists, offering an expansive extent of information mining subjects however continually concentrating on the present status of-the-craftsmanship and past.           

High Impact List of Articles

Relevant Topics in General Science

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Google Scholar citation report
Citations : 875

BioTechnology: An Indian Journal received 875 citations as per Google Scholar report

Indexed In

  • CASS
  • Google Scholar
  • Open J Gate
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Cosmos IF
  • Directory of Research Journal Indexing (DRJI)
  • Secret Search Engine Labs
  • Euro Pub
  • ICMJE

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