New Results
Learning quantitative sequence-function relationships from high-throughput biological data
Gurinder S. Atwal, View ORCID ProfileJustin B. Kinney
doi: https://doi.org/10.1101/020172
Gurinder S. Atwal
1Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory
Justin B. Kinney
2Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory Cold Spring Harbor, NY 11724 Tel.: +1-516-3675230 E-mail:
Article usage
Posted May 31, 2015.
Learning quantitative sequence-function relationships from high-throughput biological data
Gurinder S. Atwal, Justin B. Kinney
bioRxiv 020172; doi: https://doi.org/10.1101/020172
Subject Area
Subject Areas
- Biochemistry (11562)
- Bioengineering (8622)
- Bioinformatics (28865)
- Biophysics (14793)
- Cancer Biology (11921)
- Cell Biology (17165)
- Clinical Trials (138)
- Developmental Biology (9302)
- Ecology (14019)
- Epidemiology (2067)
- Evolutionary Biology (18128)
- Genetics (12145)
- Genomics (16615)
- Immunology (11706)
- Microbiology (27690)
- Molecular Biology (11386)
- Neuroscience (60092)
- Paleontology (447)
- Pathology (1847)
- Pharmacology and Toxicology (3183)
- Physiology (4878)
- Plant Biology (10276)
- Synthetic Biology (2849)
- Systems Biology (7289)
- Zoology (1618)