Search Parameter Optimization

Search Parameter Optimization is a methodological framework in bioinformatics that systematically refines input variables and algorithmic settings within protein database search protocols to maximize the accuracy and efficiency of sequence homology detection.

77

Publications

3.5K

Citations

229

Authors

105

Institutions

Publications per year

2017–2026

34

Authors

229

  1. IC
    Ishanu Chattopadhyay

    University of Chicago, United States

    2 publications · 104 citations

    2

    h-index

  2. HL
    Hod Lipson

    Cornell University, United States

    2 publications · 104 citations

    2

    h-index

  3. FR
    Franklin R. Manis

    University of Southern California, United States

    2 publications · 47 citations

    2

    h-index

  4. AH
    Allen H. Keniston

    University of Wisconsin–Eau Claire, United States

    2 publications · 47 citations

    2

    h-index

  5. HW
    Harvey Wu

    Columbia University, United States

    2 publications · 104 citations

    2

    h-index

1–5 of 229

Venues

  1. Pattern Recognition

    3 publications · 61 citations

    3

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  2. Soft Computing

    2 publications · 20 citations

    2

    h-index

  3. Child Development

    2 publications · 47 citations

    2

    h-index

  4. Bioinformatics

    2 publications · 33 citations

    2

    h-index

  5. Nucleic Acids Research

    2 publications · 85 citations

    2

    h-index

1–5