High-content phenotypes can inform evolutionary inference
General claim that measurements capturing complex biophysical, chemical, or molecular processes (such as Raman spectra, chlorophyll fluorescence, lifetime imaging) provide information about phylogenetic and evolutionary context of biological samples.
Evidence Quote
“High-dimensional phenotypes can be combined with evolutionary inference to dissect complex biology.”
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Connections (2)
Evidence
“Evidence summarizing Cheng & Xie (2015) on the emergence of vibrational spectroscopic imaging of living systems (including Raman microscopy) as an important platform for biology and medicine.”
“Evidence that Raman2RNA enables label-free prediction of single-cell RNA expression profiles from Raman microscopy as shown by Kobayashi-Kirschvink et al. (2021).”
“Evidence that linear regression can link single-cell transcriptomic data and cellular Raman spectra, as demonstrated by Kobayashi-Kirschvink et al. (2018).”
“Evidence summarizing the potential and applications of Raman spectroscopy as a tool for ecology and evolution, as discussed by Germond et al. (2017).”
“Evidence summarizing the 2013 guidance and new applications for chlorophyll fluorescence analysis as discussed in the referenced study.”