Y Yang

5 articles · 30 co-authors · latest: 2026-09-06

We have retold 5 papers by this author. 5 of them with a full read. most often about: chromatin_accessibility, senescence, Neural Network Oscillations. 30 co-authors across our retellings.

Links in the knowledge graph
q-bio.CB2026-07-133 minarXiv:2607.90004
The Book That Opens Itself: How to Light Up Chromatin Aging
Inside the nucleus of every cell lies the same book: the genome. But it is read differently: some pages are always open, others are tightly shut, and still others open only for a while.
q-bio.CB2026-07-174 minarXiv:2607.90003
The Bone Marrow as an Orchestra: How to Remove the Off-Key Players and Bring Back the Melody
In the bone marrow of every person there is an orchestra of cells that plays the symphony of blood each day: red blood cells carry oxygen, white blood cells defend against infections, platelets patch up damage. The conductors are hematopoietic stem cells, rare cells capable of producing any blood cell. While the orchestra is young, every part sounds in harmony.
q-bio.OT2026-08-253 minarXiv:2608.90051
Pulse in the Depths: How Brain Arteries Deform Tissue
Every heartbeat sends a wave through the cerebral arteries that not only pushes blood but also briefly inflates the vessel. The arterial wall, like a tightly stretched rubber tube, passes that motion to the neighboring brain tissue, and the brain pulses ever so slightly in time with the heartbeat.
q-bio.GN2026-08-282 minarXiv:2608.90004
The Orchestra Grows Old: How Cells Lose the Beat
In an orchestra that has been playing the same symphony for years, the musicians gradually start to drift: each one plays on their own, yet the notes remain the same. That is roughly what happens to cells as they age. Scientists have come up with a way to measure this discord, that is, how faithfully each cell follows the shared program of gene expression.
q-bio.QM2026-09-062 minarXiv:2609.90003
The Funhouse Mirror of Aging: How Machine Learning Distorts Biological Age
In a hall of mirrors, a person walks up to a curved mirror and sees themselves now as a dwarf, now as a giant. Popular machine learning models behave in much the same way when asked to guess biological age from blood tests or brain scans: they stretch age at the extremes, underestimating it in older people and overestimating it in younger ones.