Fitness Mapping
Fitness Mapping is a systematic method that identifies and quantifies the relationship between genotypic or phenotypic variants and their corresponding fitness outcomes within a given environment, distinguishing itself from other fitness analysis approaches by explicitly characterizing the structure and topology of fitness landscapes.
36
Publications
2K
Citations
200
Authors
97
Institutions
Publications per year
2017–2026
12
Parents
36
ECNet is an evolutionary context-integrated deep learning framework for protein engineering
Yunan Luo, Guangde Jiang, Tianhao Yu et al. · Nature Communications · 2021 · 186 citations · Full text
Mapping the Environmental Fitness Landscape of a Synthetic Gene Circuit
Dmitry Nevozhay, Rhys Adams, Elizabeth Van Itallie et al. · PLoS Computational Biology · 2012 · 138 citations · Full text
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Commonwealth Scientific and Industrial Research Organisation, Australia
1 publications · 42 citations
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97

University of North Carolina at Greensboro
Greensboro, United States
2 h-index
2 publications
140 citations
Michigan State University
East Lansing, United States
2 h-index
9 publications
801 citations

Uppsala University
Uppsala, Sweden
2 h-index
2 publications
149 citations
University of California, Berkeley
Berkeley, United States
2 h-index
5 publications
399 citations
University of Nebraska–Lincoln
Lincoln, United States
1 h-index
1 publications
20 citations
New York Genome Center
New York, United States
1 h-index
3 publications
51 citations

Brunel University of London
London, United Kingdom
1 h-index
2 publications
84 citations
University of Maine at Presque Isle
Presque Isle, United States
1 h-index
1 publications
110 citations
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PNAS · 3 publications · 163 citations
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3 publications · 245 citations
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2 publications · 143 citations
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2 publications · 223 citations
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2 publications · 125 citations
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