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Alexander x Lozano proslijedio/la je Tweet
Exciting study from
@gungulati in Aaron Newman's lab in@sciencemagazine. Using gene counts to measure developmental potential & identify cancer stem cells. https://science.sciencemag.org/content/367/6476/405 …https://med.stanford.edu/news/all-news/2020/01/a-single-number-helps-stanford-data-scientists-find-most-dangero.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexander x Lozano proslijedio/la je Tweet
[1/10] 3 yrs ago, I was 1 mo away from returning to med school when I saw a peculiar trend in sequencing data. I hesitated at first, then canceled my classes, applied to PhD, and embarked on an incredible journey. I am happy to share the fruits of my labor:https://science.sciencemag.org/content/367/6476/405 …pic.twitter.com/aVjTQbBQNY
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexander x Lozano proslijedio/la je Tweet
This amazing effort by
@gungulati and@ssikandar is out and can finally get the attention it deserves, showing how a measure as simple as the number of genes a cell expresses can identify the most dangerous cancer cells#CytoTRACE#newmanlab@StanfordMedhttps://science.sciencemag.org/content/367/6476/405 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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