| CV (Researchmap) | https://researchmap.jp/mkoido?lang=en |
| GitHub | https://github.com/koido |
| https://twitter.com/m_koido |
I'm excited to share a preprint of CAMBUS, a new DNA machine-learning application to identify "constrained" open chromatin regions (OCRs)!
By leveraging cell-type-specific OCRs, CAMBUS prioritized causal variants in a cell-type-specific manner.
This work was also presented as a platform talk at the #ASHG meeting last year.
We are excited to announce that Wes McKinney has joined Posit!
When we changed our name to Posit, our goal was to unify efforts around creating great tools for #datascience, regardless of language, and working with Wes is a huge step forward in realizing that dream.
Our work to derive hidden knowledge from #spatialtranscriptome by deep learning (DeepSpaCE) was one of the top 100 downloaded cancer papers for Scientific Reports in 2022!
According to https://www.nature.com/collections/ciijehjfha, our paper was ranked 9th in the cancer papers. I will continue to work on developing new methods to encourage data-driven science!
Paper: https://nature.com/articles/s41598-022-07685-4
Tool (DeepSpaCE): https://github.com/tmonjo/DeepSpaCE (ready-to-use for #Visium data).
Check out our Perspective in @[email protected] highlighting 7 challenges to be considered in the study of enhancer dysfunction in disease.
👏 @[email protected] @[email protected] @[email protected] & @[email protected] for coordinating this work.
@[email protected]
➡️ https://rdcu.be/c1f7d
🐦🔗: https://twitter.com/enhpathy_H2020/status/1600901519850835969
Our work to predict transcription of #ncRNA, especially for #eRNA, from DNA sequences is finally out in @[email protected].
Our machine learning tool, MENTR, is available at https://github.com/koido/MENTR. MENTR can link non-coding #GWAS associations and cell-type-specific #ncRNA expressions!
https://www.nature.com/articles/s41551-022-00961-8
This was my main work in @[email protected] lab in @[email protected]. Many thanks to excellent collaborators, amazing #FANTOM5 datasets, and GPU supercomputer #ABCI.
I'm an assistant professor (non-tenure) at the University of Tokyo, #Japan.
I'm a bioinformatician working on complex trait #genomics utilizing #MachineLearning and statistical modeling on #GWAS results and #omics datasets. I'm especially interested in #humangenetics and transcriptional regulation.
Posit
Robin Andersson