Clay weekly context brief for the Quantitative Biology category (ISO week 2026-W29).

Clay tracks publications from the Quantitative Biology feed list. Below are recent items from this category, each with its source and a short description of what the publication covers when one is available in the source feed.

Recent publications:
1. Variable-Length Generative Protein Design via Generalized Poisson Flow
   Source: q-bio.QM (Quantitative Methods)
   Link: https://arxiv.org/abs/2607.09039
   The ability to generate variable-length proteins is crucial in protein design, where the optimal length is often unknown and tightly coupled to designability.
2. Explaining Human Choice Probabilities with Simple Vector Representations
   Source: q-bio.NC (Neurons and Cognition)
   Link: https://arxiv.org/abs/2511.03643
   We formalize human choice behavior in a probabilistic hide-and-seek task.
3. Comprehensive identifiability analysis and reliable parameter estimation for an SEIR model
   Source: q-bio.PE (Populations and Evolution)
   Link: https://arxiv.org/abs/2607.09137
   The Susceptible-Exposed-Infectious-Removed (SEIR) model is a fundamental model in epidemiology.
4. Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data
   Source: q-bio.GN (Genomics)
   Link: https://arxiv.org/abs/2607.04527
   Biological systems exhibit a hierarchical structure, characterised by directed flow from upstream regulators to downstream effects.
5. Reward Transport: Property Control in Flow Matching via Noise-Space Alignment
   Source: q-bio.QM (Quantitative Methods)
   Link: https://arxiv.org/abs/2607.08781
   The coupling in flow matching -- the rule pairing noise vectors with data points -- is typically treated as a computational choice.
6. CoCoT-EEG: Contrastive-Pretrained Multiscale Convolutional Transformer for EEG Decoding
   Source: q-bio.NC (Neurons and Cognition)
   Link: https://arxiv.org/abs/2607.09543
   Self-supervised pretrained foundation models (FM) have shown early promise for non-invasive electroencephalogram (EEG) decoding applications.
7. Model Predictive Controller to Regulate Cortisol Levels in Individuals With Adrenal Insufficiency
   Source: q-bio.QM (Quantitative Methods)
   Link: https://arxiv.org/abs/2607.08902
   A model predictive controller (MPC) is used to construct a virtual assistant to aid a physician in prescribing cortisol replacement therapy for patients with adrenal insufficiency (AI).
8. Quantum Logic as the Logic of Contexts
   Source: q-bio.NC (Neurons and Cognition)
   Link: https://arxiv.org/abs/2607.09032
   Quantum logic is usually presented as a non-classical departure from ordinary reasoning forced on us by quantum mechanics, with classical logic kept as the secure starting point.

Sources in this brief: q-bio.GN (Genomics); q-bio.NC (Neurons and Cognition); q-bio.PE (Populations and Evolution); q-bio.QM (Quantitative Methods).
Selected 8 of 12 available items for this weekly brief.