Mariko Okada

13PUBLICATIONS
13CO-AUTHORS
Haematological tumoursGenome structure and regulationDeep learningEvolutionary impacts of climate changeGenomics and transcriptomics
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Publications (13)

|Aug 22, 2026
Ligand-dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry.

|Feb 04, 2025
An Attention-Based Deep Neural Network Model to Detect Cis-Regulatory Elements at the Single-Cell Level From Multi-Omics Data.

Ken Murakami, Keita Iida, Mariko Okada

|Oct 11, 2024
DynProfiler: a Python package for comprehensive analysis and interpretation of signaling dynamics leveraged by deep learning techniques.

Masato Tsutsui, Mariko Okada

|Jul 16, 2024
NFκB dynamics-dependent epigenetic changes modulate inflammatory gene expression and induce cellular senescence.

Sho Tabata, Keita Matsuda, Shou Soeda

|May 25, 2024
Identifying Key Regulatory Genes in Drug Resistance Acquisition: Modeling Pseudotime Trajectories of Breast Cancer Single-Cell Transcriptome.

Keita Iida, Mariko Okada

|Aug 26, 2023
A Combination of Conformation-Specific RAF Inhibitors Overcome Drug Resistance Brought about by RAF Overexpression.

Hiroaki Imoto, Nora Rauch, Ashish J Neve

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Frequent Collaborators

3 joint publications

Akira Imamoto

2 joint publications

Shigeyuki Magi

2 joint publications

Takeya Kasukawa

2 joint publications

Alexander Hoffmann