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PMC/PubMed Indexed Articles
Mining Next Generation Sequencing Data: How to Avoid “Treasure in, Error Out”
Causal Inference in the Age of Decision Medicine

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Google Scholar citation report
Citations : 1498

Journal of Data Mining in Genomics & Proteomics received 1498 citations as per Google Scholar report

Journal of Data Mining in Genomics & Proteomics
Journal of Data Mining in Genomics & Proteomics peer review process verified at publons
Journal of Data Mining in Genomics & Proteomics
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Lucila Saavedra

Lucila Saavedra

  Laboratorio de Genética y Biología Molecular, CERELA- CONICET Argentina

Biography
Dr. Lucila Saavedra is currently affiliated to Laboratorio de Genética y Biología Molecular, CERELA- CONICET, continuing research in the specialized scientific area of genomics and proteomics. Dr. Lucila Saavedra is an honorary author for Journal of Data Mining in Genomics & Proteomics along with other reputed journals and has authored several articles along with chapters in different books related to specified research topics.
Research Interest
Genomics, meta genomics, proteomics, data mining applications