James X. Li (@VisuMap) header
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VisuMap Technologies. Discovering knowledge by visualization.

Calgary, Canada
Joined September 2010
Photo by James X. Li (@VisuMap)Photo by James X. Li (@VisuMap)Photo by James X. Li (@VisuMap)Photo by James X. Li (@VisuMap)Photo by James X. Li (@VisuMap)Photo by James X. Li (@VisuMap)Photo by James X. Li (@VisuMap)Photo by James X. Li (@VisuMap)Photo by James X. Li (@VisuMap)Photo by James X. Li (@VisuMap)
This year’s chemistry laureates Demis Hassabis and John Jumper have developed an AI model, AlphaFold2, to solve a 50-year-old problem: predicting proteins’ complex structures. Check out two examples of protein structures determined using AlphaFold2. First up, a bacterial enzyme that causes antibiotic resistance. The structure is important for discovering ways of preventing antibiotic resistance. Animation: ©Terezia Kovalova/The Royal Swedish Academy of Sciences #NobelPrize
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新华网在B站关于姜萍的视频“探索数学世界只是姜萍的PlanB”已经被删除了。
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James X. Li retweeted
t-SNE has been used extensively in biology, but what are its pros and cons? Join us to hear Dr. Laurens van der Maaten, the inventor of t-SNE, discuss the algorithm, plus what you can and can't conclude from it. Time: 9:00AM (GMT-7), Sep 30 Register now: us02web.zoom.us/webinar/regi…
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James X. Li retweeted
Helen Chen’s reports/statistics on China are legendary. I’m just going to start tweeting her slides.
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Childhood cerebellar tumours mirror conserved fetal transcriptional programs nature.com/articles/s41586-0…
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Just released bigwig files for Avocao's genomic latent factors: bit.ly/2PrZvhC Easy to load into the genome browser! We're working on semantic labels to make them easier to associate with biological activity. @uwgenome @uwescience
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James X. Li retweeted
I am extremely honored to be the recipient of the 2018 ACM A.M. Turing Award, and absolutely delighted to be sharing it with my friends and colleagues Geoffrey Hinton and Yoshua Bengio. NYT:... nytimes.com/2019/03/27/techn…
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single-cell RNAseq of the developing Arabidopsis root: >4k cells, >4k genes/cell (!!!), 90% of all transcripts detected compared to bulk RNAseq. AND old school, hand drawn cover art for new school, high-tech science cell.com/developmental-cell/…
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James X. Li retweeted
A nice read on scalable #SingleCell data analysis, cell composition and . based on #DeepLearning #autoencoder. Comes with bench-marking with other methods of #dimensionreduction for performance. nature.com/articles/s41592-0…
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Our Research Director, Dr Richard Hopkins, presenting the results highlighting the benefits of #VSTs as a platform for improving CART-T therapy at the Keystone’s #Cancerimmunotherapy conference in Whistler. #KScancerimm #Immunotherapy #CARTcell #celltherapy
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Tessa’s Research Director, Dr Richard Hopkins, speaking about the advances of cell therapy at the DIA Singapore Annual Meeting 2019 today. He discussed how Virus Specific T Cells are utilized as a platform to tackle solid tumor in cancer #immunotherapy. #celltherapy #solvecancer
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James X. Li retweeted
Dive into #deeplearning for genomics using Nucleus and Tensorflow in this post from the Genomics team in Google Brain. Read the post here → bit.ly/2WzW0Jg Get started with the Colab tutorial here → bit.ly/2HGRlSj
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Today our article is online in @NatImmunol | Immune system before birth more mature than previously thought | integrated #singlecell analysis platform | human fetal intestine | @LUMC_Leiden & @tudelft | go.nature.com/2U4vJjX | #MassCytometry #RNAseq #tcr
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Challenges in unsupervised clustering of single-cell RNA-seq data via @nature go.nature.com/2szNs7p nitter.cf/10xgenomics/status/108…
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#1 of 2018: Immune health> Upshot of @WherryLab, @EJohnWherry @Therealbbengsch study: Tailoring immune therapies to patient’s unique exhausted T cell pool and its individual characteristics @PennIFI @ImmunityCP @ParkerICI @NIAIDFunding @PennMicro
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Using AI to help scientists solve big questions is at the core of DeepMind’s mission. Today we’re delighted to announce our first significant milestone: a successful application of machine learning to the protein folding problem. deepmind.com/blog/alphafold/ #AlphaFold (1/5)
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Check out the accepted papers and interactive explainables from the upcoming #VISxAI workshop at #ieeevis - Program available at visxai.io/program.html Looking forward to all the great talks and discussions in Berlin!
Deep-learning-based image-activated cell sorting bit.ly/2O0dsVx #NBThighlight