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An Efficient Hierarchical Clustering Algorithm for Large Datasets

Hierarchical clustering is a widely adopted unsupervised learning algorithm for discovering intrinsic groups embedded within a dataset. Standard implementations...
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About Journal

Austin Journal of Proteomics, Bioinformatics & Genomics is an international, open access, peer reviewed, scholarly journal committed to publish articles in all fields of proteomics particularly their structures & functions, bioinformatics and genomics. It is a wide-ranging scientific journal that covers multidisciplinary fields. Austin Journal of Proteomics, Bioinformatics & Genomics accepts research articles, letter to editor, mini reviews, review articles, case reports, technical reports, editorials, scientific data, short communication, and rapid communications, etc. on all the aspects of above fields. The Austin Journal of Proteomics, Bioinformatics & Genomics is at the accurate time available, and is generously accessible internationally through internet to share the innovations of the researchers for scholarly advancement in this field.

The aim of the academic journal is to provide a platform for researchers, scientists, physicians, and other health professionals to find latest research information in the areas of proteomics, bioinformatics and genomics. Austin Publishing Group also brings universally peer reviewed member journals under one roof thereby promoting knowledge sharing, collaborative and promotion of multidisciplinary science. The prominent team of guest editors ensures a balanced, expert assessment of the articles published, with an aim to provide a forum for physicians, surgeons, researchers, scientists, clinicians and other healthcare professionals to find most recent advances in the areas of Proteomics, Bioinformatics & Genomics.

Scope of the Journal

003
  • Cancer proteomics, Quantitative proteomics
  • Proteomics review, Cell proteomics
  • Proteomics analysis, Proteomics mass spectrometry
  • Proteomics mass, Membrane proteomics
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