Results 181 to 190 of about 864,269 (299)

Sparse Graph Codes

, 1999
In the last decade remarkable progress has been made towards the Shannon limit, using codes that are dened in terms of sparse random graphs, and which are decoded by message{passing.
David J.C. MacKay
core  

A Serverless Pharmacogenomic Risk Dashboard: Translating Ensemble Models and Model-Based Scenario Rules to Clinical Decision Support. [PDF]

Clin Transl Sci
Dixon RJ, Price ET.
europepmc   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

Text-prompted foundation-model segmentation of intrapartum fetal ultrasound: a controlled methodological study with F-TPA-SAM2. [PDF]

Front Med (Lausanne)
Yang Z, Meng Q, Jiang B, Liu D, Qiu J.
europepmc   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

Computational mechanisms transforming visual codes into sparse representations. [PDF]

Neurosci Biobehav Rev
Cao R, Wang S.
europepmc   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

A new AI assisted approach aligns data standards and accelerates interoperability in biomedical research. [PDF]

NPJ Digit Med
Long RA, Ballard S, Shah S, Bianchi O, Jones L, Koretsky MJ, Kuznetsov N, Marsan E, Jen B, Chiang P, Mukherjee A, Blauwendraat C, Leonard H, Vitale D, Levine K, Bandres-Ciga S, Jarreau P, Brannelly P, Phatak M, Pantazis C, Screven L, Andersh K, Kapasi A, Crary JF, Gutman D, Dugger BN, Biber S, Hohman T, Faghri F, Griswold M, Sargent L, Keuren-Jensen KV, Singleton AB, Fann Y, Nalls MA, Iwaki H.   +35 more
europepmc   +1 more source

AI‐Powered, Temperature‐Resolved Centrifugal Microfluidics for Rapid 3D Phase‐Diagram Generation of Biomolecular Condensates

Advanced Science, EarlyView.
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li, Pengjie Li, Kaiting Zhang, Yongqi Guo, Peng Chen, Bi‐Feng Liu, Yiwei Li   +6 more
wiley   +1 more source

A Statistical-Physics Refinement of Soft Covering. [PDF]

Entropy (Basel)
Merhav N.
europepmc   +1 more source