Sanju Sinha
@Sanjusinha7
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Asst Prof @sbpdiscovery I tweet comp bio-resources. | PhD in ML→cancer therapies| ex-NCI, UMD, IITG, Max Delbruck, NCL| Tweets are chatGPT's view, not mine.
San Diego, California
Joined June 2012
Understanding ecDNA (tiny circular DNA) is among important open problems in cancer research. However, it can only be detected using whole genome sequencing - a bottleneck to study it at scale. We present ecPath - a method to detect it directly from histopathology images.🧵
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RT @srikosuri: It’s been a tough few weeks. My 10yo daughter was diagnosed with a very rare, aggressive cancer called interdigitating dendr…
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RT @JanBroderEngler: This is how you can generate multipage PDFs in #tidyplots 🚀 #rstats #dataviz #phd
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RT @biorxiv_bioinfo: ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity #biorxiv_bioi…
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This is super cool; Protein sequnece have localization code aside of folding information. this begs the question of whether there's more - where to secrete, half-life, adaptive vs. conserved (redundant coding for robustness).
This is like AlphaFold, but for protein localisation rather than folding It's a deep learning model that predicts a protein's subcellular compartment based on its amino acid sequence alone:
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@sama came back to use chatGPT to try deep research after eight months (claude user) and bought plus. Only to realize it's only available for pro. If I am coming back, i hope we get better names (aside of deep research to plus). would AGI be q4-mini-high-ultra-plus-magnum?
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RT @SamuelBHume: "Our studies suggest that proteins have evolved to harbor at least two types of codes, one for folding and another for int…
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RT @MitoPsychoBio: All mitochondria in your body comes from the same "mother" population in the egg/oocyte, later differentiating into dist…
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A lot of interesting recent work in understanding organ-specific aging. below are a few: Will cover the state of this field soon.
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RT @JonasKoeppel: I’m delighted to share our work on scrambling the human genome using prime editing, repetitive elements, and recombinases…
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this looks very promising.
Cancer evolution enthusiasts - you might be interested in some new data from our lab on quantifying cell divisions along evolutionary lineages in colorectal and lung cancer, published today in @NatureGenet! If so, some highlights below 👇
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RT @AsimovPress: Indoor air quality has been a problem for most of human history. From Viking longhouses to 19th-century London, the strug…
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RT @deedydas: Foundational models don’t work as well in non English languages. If India wants to build its foundational model, it should d…
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RT @paulg: This may be the most inspiring sentence I've ever read. Which is interesting because it's not phrased in the way things meant to…
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RT @TimePieChina: A panoramic view of cell population dynamics in mammalian #aging: By Zehao Zhang, Wei Zhou, Junyu…
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RT @AI4Pathology: ✨📣Introducing THREADS: a multimodal foundation model for pathology trained on paired histology and genomic data 🔬+🧬 We s…
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RT @mikeknoop: just published my full @arcprize analysis of deepseek's r1-zero and r1. link below. key points: r1-zero is more important t…
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RT @snowmaker: A good prompt for thinking of startup ideas: "What ideas has the world given up on, that someone should try again?"
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