PhD Bioinformatics. I think about how we can predict bacterial interactions and how to figure out how they do it.
Joined February 2018
- Tweets39
- Following223
- Followers56
- Likes341
Pinned Tweet
Machine learning reveals missing edges and putative interaction mechanisms in microbial ecosystem networks. I made this. Neat.
biorxiv.org/content/early/20…
Demetrius DiMucci retweeted
Part 2: So why DO Random Forests work?! On this, I’ll have to disagree with Elements of Statistical Learning (my first time ever 💔)
EoSL says the success of forests should be understood as a consequence of variance reduction *alone*, but I think that’s not a good intuition 1/n
Why do Random Forests perform so well off-the-shelf & appear essentially immune to overfitting?!?
I’ve found the text-book answer “it’s just variance reduction 🤷🏼♀️” to be a bit too unspecific, so in our new pre-print arxiv.org/abs/2402.01502, @Jeffaresalan & I investigate..🕵🏼♀️ 1/n
Published this morning. A major leap forward in my own understanding of just what it is a Random Forest is doing: frontiersin.org/articles/10.…
Demetrius DiMucci retweeted
Really excited to have my first paper from grad school published in @elife! The nicely formatted version is now out! A computational analysis of human oral microbiome organism’s biosynthetic capabilities doi.org/10.7554/eLife.39733
Demetrius DiMucci retweeted
Excited to share a pre-print of our Penicillium experimental evolution project. We discovered rapid loss of pigment, secondary metabolite, and spore production in Penicillium when passaged on cheese. Evolved strains also smelled wildly different (see awesome VOC data!).
Rapid phenotypic and metabolomic domestication of wild Penicillium molds on cheese biorxiv.org/cgi/content/shor… #biorxiv_micrbio
Recently discovered my paper has been cited for the first time. Happy to know I've contributed to the conversation and not just shouting into the void.
Demetrius DiMucci retweeted
Resource-poor environments harbor enormous possibilities for microbial metabolic exchange driven by “costless” secretions: Read more in our new study, out today in @NatureComms!
doi.org/10.1038/s41467-018-0…
Demetrius DiMucci retweeted
Boundary conditions for early life converge to an organo-sulfur metabolism biorxiv.org/cgi/content/shor… #bioRxiv
I am quite happy that my first article is actually out now. msystems.asm.org/content/3/5…
Demetrius DiMucci retweeted
Experiments and simulations on short chain fatty acid production in a colonic bacterial community biorxiv.org/content/early/20…
Demetrius DiMucci retweeted
How interactions among microbes can lead to their coexistence, now on bioRxiv: "Microbial coexistence through chemical-mediated interactions" biorxiv.org/content/early/20… @ShouGroup @MomeniLab
Costless metabolic secretions as drivers of interspecies interactions in microbial ecosystems biorxiv.org/content/early/20…
Demetrius DiMucci retweeted
Machine learning reveals missing edges and putative interaction mechanisms in microbial ecosystem networks biorxiv.org/cgi/content/shor… #bioRxiv
Demetrius DiMucci retweeted
I saw this tweet pop up in my timeline and thought this would be something @dsegre would be excited about. Then I clicked through and found out it's his lab's latest. Check it out! xitter.cf/biorxivpreprint/status…
Machine learning reveals missing edges and putative interaction mechanisms in microbial ecosystem networks biorxiv.org/cgi/content/shor… #bioRxiv