New Results
Inferring cell state by quantitative motility analysis reveals a dynamic state system and broken detailed balance
View ORCID ProfileJacob C. Kimmel, Amy Y. Chang, Andrew S. Brack, View ORCID ProfileWallace F. Marshall
doi: https://doi.org/10.1101/168534
Jacob C. Kimmel
1Dept. of Biochemistry & Biophysics, University of California San Francisco, San Francisco, CA
2Dept. of Orthopedic Surgery, University of California San Francisco, San Francisco, CA
Amy Y. Chang
2Dept. of Orthopedic Surgery, University of California San Francisco, San Francisco, CA
Andrew S. Brack
1Dept. of Biochemistry & Biophysics, University of California San Francisco, San Francisco, CA
Wallace F. Marshall
2Dept. of Orthopedic Surgery, University of California San Francisco, San Francisco, CA
Article usage
Posted July 26, 2017.
Inferring cell state by quantitative motility analysis reveals a dynamic state system and broken detailed balance
Jacob C. Kimmel, Amy Y. Chang, Andrew S. Brack, Wallace F. Marshall
bioRxiv 168534; doi: https://doi.org/10.1101/168534
Subject Area
Subject Areas
- Biochemistry (11784)
- Bioengineering (8777)
- Bioinformatics (29279)
- Biophysics (15004)
- Cancer Biology (12140)
- Cell Biology (17446)
- Clinical Trials (138)
- Developmental Biology (9446)
- Ecology (14217)
- Epidemiology (2067)
- Evolutionary Biology (18341)
- Genetics (12265)
- Genomics (16823)
- Immunology (11902)
- Microbiology (28135)
- Molecular Biology (11622)
- Neuroscience (61116)
- Paleontology (452)
- Pathology (1877)
- Pharmacology and Toxicology (3246)
- Physiology (4976)
- Plant Biology (10450)
- Synthetic Biology (2891)
- Systems Biology (7355)
- Zoology (1654)