
UCLA Bioinformatics. PhD candidate in @JasonErnstLab. Bin is not my middle name 🇰🇷
Joined July 2020
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Soo Bin Kwon retweeted
Excited to share our @iclr_2024 spotlight paper. Our work shows that critical learning periods exist in a minimal analytically tractable model of artificial deep networks (deep linear networks) trained with SGD.
Paper: arxiv.org/abs/2308.12221
Work w/ A. Achille & S. Soatto
Soo Bin Kwon retweeted
The mammalian methylation array is now published
nature.com/articles/s41467-0… Congrats to @adriana_arneson @amin_haghani, Mike, Matteo, @s00binkwon @HaVu_science, Emily, Mingjia, Caesar, @akelu38, Marco, Liudmilla, Bret, @kasperdhansen @zhouwanding @charles_breeze @jernst98 and Steve!
Soo Bin Kwon retweeted
Please check out our paper about the universal chromatin state annotation that was learned based on data from over 1000 datasets in over 100 cell types.
Chromatin state annotation of the human genome using a version of ChromHMM adapted for large scale use, applied to over 1000 datasets from 100 cell types, by @HaVu_science and @JasonErnstLab. The 'stacked' model improves match to external annotation
genomebiology.biomedcentral.…
Soo Bin Kwon retweeted
My first grad school publication is out on pnas.org. We reported partial synthetic models of FeMoco cluster with various bridging atoms, including a C-based ligand. Thanks to everyone for the contribution pnas.org/content/118/49/e210…
Soo Bin Kwon retweeted
To better understand the functional consequences of SARS-COv-2 mutations, @JasonErnstLab @s00binkwon used comparative genomics to annotate SARS-COv-2 conservation states and compare sequence alignment patterns between different coronaviruses. nature.com/articles/s42003-0…
Soo Bin Kwon retweeted
Our paper "Single-nucleotide conservation state annotation of the SARS-CoV-2 genome" led by @s00binkwon is now published. In this paper we apply ConsHMM (previously developed by @adriana_arneson) to annotate the SARS-CoV-2 genome and analyze mutations.
nature.com/articles/s42003-0…
Soo Bin Kwon retweeted
A genome-wide conservation score integrating epigenomic, transcription factor binding, and transcriptomic data from mouse and human genomes.
@JasonErnstLab @s00binkwon
nature.com/articles/s41467-0…
Soo Bin Kwon retweeted
What are the locations from the mouse genome more likely to transfer to human biology? @JasonErnstLab @s00binkwon compmed.ucla.edu/news/learni…
Funded by @NIH @NSF @kureit, and the Rose Hills Foundation. @UCLAMEng @dgsomucla
My first first-author paper is finally out! LECIF scores human-mouse conservation at the functional genomics level 👩🔬🐭
New paper "Learning a genome-wide score of human–mouse conservation at the functional genomics level" led by @s00binkwon is now out. nature.com/articles/s41467-0…
Soo Bin Kwon retweeted
Our latest paper "ConsHMM Atlas: conservation state annotations for major genomes and human genetic variation" by @adriana_arneson with her former @UCLA_BIGSummer students Brooke and @thechiennifer academic.oup.com/nargab/arti…
Soo Bin Kwon retweeted
Our paper "Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations" with contributions from Olivera,@tanyaphung,@s00binkwon, @adriana_arneson,Yuju,@lohmueller is now out nature.com/articles/s41467-0…
Soo Bin Kwon retweeted
Our latest preprint "Learning a genome-wide score of human-mouse conservation at the functional genomics level" led by @s00binkwon
Learning a genome-wide score of human-mouse conservation at the functional genomics level biorxiv.org/cgi/content/shor… #biorxiv_bioinfo
Soo Bin Kwon retweeted
Our preprint on applying ConsHMM to generate conservation state annotations of the SARS-CoV-2 genome and then analyze strain mutations. This is the work of @s00binkwon leveraging ConsHMM previously developed by @adriana_arneson.
Single-nucleotide conservation state annotation of SARS-CoV-2 genome biorxiv.org/cgi/content/shor… #biorxiv_genomic













