Yusuke Imoto

Applied Mathematics/Numerical Analysis/Data Science. AP in ASHBi, Kyoto University.

[Yusuke Imoto @imoto_yusuke]

We developed Species-OT using Gromov-Wasserstein optimal transport to quantify cross-species transcriptome differences and infer gene correspondences by tissue, even with different gene lists.
https://t.co/zdxWSzkXz9

[Yusuke Imoto @imoto_yusuke]

New preprint! Cross-species scRNA-seq translation without predefined gene mapping—even for missing cell states.
https://t.co/UBkqMUWS9U

[Nozomu Yachie @nzmyachie]

拡散お願いします🙏阪大サマーキャンプのラボ出身者ゲスト講師情報が揃いました。スタンフォードの今野直輝さん @utnk1、ケンブリッジの坂田莉奈さん、Seattle Hub (Allen/CZI) の石黒宗さん @soh__i です。とてもうれしいです。応募者もどんどん集まっています。まだお席あります！

[Yusuke Imoto @imoto_yusuke]

@nzmyachie @yachielab コントローラー持っている方、ボスに命令されて撮影に集中してるから自分だけカメラ目線じゃないんですね😢

[日本の研究.comニュース @rjp_news]

【注目プレスリリース】未来を分かつ転換点を捉える数学基盤を確立 いつ、どこで介入すべきかの手がかりに / 京都大学,埼玉大学 https://t.co/C8aPCZf6tx

[Yusuke Imoto @imoto_yusuke]

Our paper has been published in Chaos!

We propose a framework for detecting tipping points in dynamical time-series data via ε-attracting basins, demonstrated on Typhoon Dolphin ensemble simulations.

https://t.co/aYR8DIz9vX

[Yusuke Imoto @imoto_yusuke]

Oda-san (U Tokyo) and I developed a segmentation tool for membrane images using persistent homology, a topological data analysis (TDA).
PomSeg enables users to flexibly segment cells of varying sizes and overlaps.
https://t.co/UbgNfBwxw0

[Yusuke Imoto @imoto_yusuke]

We have posted a preprint that qualitatively compares the "geometric" difference of transcriptomes among species using the Gromov-Wasserstein optimal transport!

[bioRxiv Bioinfo @biorxiv_bioinfo]

Geometric inference of cross-species transcriptome correspondence using Gromov-Wasserstein optimal transport https://t.co/2xYBQGBLE3 #biorxiv_bioinfo

[Yusuke Imoto @imoto_yusuke]

An artistic illustration of RECODE (by @canon_ofuton) was selected for the cover of Cell Reports Methods!

https://t.co/4QcJnh4PgA

[Yusuke Imoto @imoto_yusuke]

RECODE v2 was published in Cell Reports Methods!
https://t.co/ZCthTZtLF0

[Yusuke Imoto @imoto_yusuke]

Updated RECODE to v2.1 and posted a related bioRxiv preprint. This version enhances noise-reduction accuracy and adds a highly variable gene (HVG) selection function. RECODE-based HVG selection identifies key genes more accurately than Seurat or Scanpy.
https://t.co/6dpeEEc2M5

[Yusuke Imoto @imoto_yusuke]

We formulated the ε-attracting basin as the region drawn toward a desired attractor by control inputs of magnitude ε, unveiling its filtration properties. Astonishingly, ε can be negative, reflecting basin robustness.

https://t.co/i6f9KFR3vN

[Yusuke Imoto @imoto_yusuke]

We mathematically proved the existence of the curse of dimensionality in persistence diagrams. This work was led primarily by Mr. Enhao Liu.
https://t.co/N9lDYYW8Dq
#TopologicalDataAnalysis #Statistics

[sadaota @sadaota000]

【拡散希望】修士・博士学生・スタッフ募集中です（今週10日は大学院説明会https://t.co/cPmfU87llI）。光・情報・流体・遺伝子技術を融合し、世界を驚かせるバイオテクノロジーを開発中です。AI駆動の計測ハード開発、細胞解析やシミュレータ開発、新技術で拓く生命科学に興味のある方、連絡下さい。

[Yusuke Imoto @imoto_yusuke]

New preprint out!
"Meteorological Landscape of Tropical Cyclone🌀"
A collaboration between applied math & meteorology:
🔗 https://t.co/wL5TCmrU4C
#TropicalCyclone #DataScience

[Yusuke Imoto @imoto_yusuke]

RECODE Python library has been updated to v1.0.1.
https://t.co/rJDendO7Gh

[Yusuke Imoto @imoto_yusuke]

A collaboration using RECODE.

Safeguarding intestinal stem cells during aging through balanced signaling | ASHBi Institute for the Advanced Study of Human Biology
https://t.co/Pd5ki6wwwM

[Yusuke Imoto @imoto_yusuke]

A paper on scEGOT, a single-cell trajectory inference framework based on entropic Gaussian mixture optimal transport, has been published in BMC Bioinformatics! This work is a fusion research project with mathematics and biology at ASHBi.

https://t.co/jhnLy92ZDs

[Yusuke Imoto @imoto_yusuke]

RECODE was used to extract clusters of transcription factors, enabling the high-precision classification of neuroblastoma stages 4 and 4S through the generalized topological overlapping measure (GTOM).
https://t.co/0jIiEQc93y