Aggravated data scientist with multiomic problems and frustratingly linear solutions. Graduate student studying asthma and the microbiome at WashU in St. Louis.
@DanielJDrucker Hi! As an author on this paper, I wanted to say please do not blame gut. Our data do suggest that the gut microbiome may play a role in altering the immunology of the lung in patients who have asthma, but not that it causes asthma.
Dr. Haja Wurie gives a moving discussion on the psychological consequences of Covid-19 on women, both on the mental and social health of individuals as well as the way the pandemic has affected gender roles.
https://t.co/gVqkhwxNtN
#ScienceStopsCOVID
Dr. Janine Clayton opens up session 3 with an in-depth discussion of both biological and social sex based differences in Covid-19.
Keep up with the discussion here: https://t.co/gVqkhwxNtN
#ScienceStopsCovid
Feeling behind on your COVID reading? Catch up quick at this virtual symposium hosted by CWIDR
COVID-19: Scientific Advances and its Impact on Women’s Health https://t.co/gVqkhwxNtN via @YouTube
@mohsin1570 Thanks for the reply. I believe it does. But I also see articles with other cross validation tools and wasn’t sure if there was another helpful metric. Since it changes a little bit each time, would you just re-run the RF to get an average OOB?
Question for the community. I'm doing a random forest regression using selected features from an OTU table to predict a protein concentration and I'm wondering what kind of cross validation a reader would find useful. Any suggestions would be helpful. #microbiome#DataScience