General information

Announcements(0)

Program

Sessions

Search presentations

Timetable

Wed. Dec 3, 2025

Thu. Dec 4, 2025

Fri. Dec 5, 2025

web_header_en.png

web_icon.png

Profile management

Announcements

Bookmark

Download PDF for print

Program Type

Login required to view

Password required to view

Presentation Information

Session Details

Please enter the password printed on your name card.

To browse or post comments, you must log in.

You cannot post comments as it is outside the comment posting period.

This comment has been deleted. You cannot reply to this comment.

RECODE: a high-dimensional statistical approach to noise reduction of single-cell data - recent advances and beyond

Biomedical data is diversifying due to advances in bioinformatics, including high-dimensional genomics and various imaging techniques. To harness this complexity, mathematical data science is crucial. Here, we will introduce cutting-edge technologies in biomedical research, such as AI, machine learning, topological data analysis, and high-dimensional statistics, with practical examples, offering a platform for participants to discover tools for their own data analysis needs.

【E】Future of mathematical data science driven biomedical research

The 48th Annual Meeting of the Molecular Biology Society of Japan

Presentation Information

[1MS-09-05]RECODE: a high-dimensional statistical approach to noise reduction of single-cell data - recent advances and beyond

Comment