Results 221 to 230 of about 1,310,642 (283)

Nonparametric Bayes Factors Based On Empirical Likelihood Ratios. [PDF]

J Stat Plan Inference, 2013
Vexler A, Deng W, Wilding GE.
europepmc   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

Advanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag, Janina A. Hoffmann, Tim Rogers, Christian A. Yates   +3 more
wiley   +1 more source

TWO-STAGE EMPIRICAL LIKELIHOOD FOR LONGITUDINAL NEUROIMAGING DATA. [PDF]

Ann Appl Stat, 2011
Shi X, Ibrahim JG, Lieberman J, Styner M, Zhu H.   +4 more
europepmc   +1 more source

Unraveling the Molecular Mechanisms Underlying Spontaneous Multipolar Mitosis Through CIN‐seq

Advanced Science, EarlyView.
Multipolar mitosis, a hallmark of chromosomal instability (CIN), drives tumor heterogeneity but is challenging to study in live cells. Using CIN‐seq, a single‐cell multiomics method, we profiled rare CIN events and identified mechanisms associated with viable multipolar mitosis, including PTEN attenuation, Rho GTPase‐driven cytokinesis failure, and ...
Pin‐Rui Su, Ting‐Chun Chou, Maria Teresa López‐Cascales, Junfeng Huang, Tsai‐Ying Chen, Sjoukje van Wieren, Chan Li, Cecile Beerens, Li You, Jelle Storteboom, Miao‐Ping Chien   +10 more
wiley   +1 more source

Restriction of Individual Branched‐Chain Amino Acids has Distinct Effects on the Development and Progression of Alzheimer's Disease in 3xTg Mice

Advanced Science, EarlyView.
Protein restriction (PR) slows Alzheimer's disease (AD) in mice, and other benefits of PR are due to decreased branched‐chain amino acids (BCAAs). We show that restricting any BCAA has benefits, with sex‐ and BCAA‐specific impacts on pathology, molecular signaling, and cognition.
Reji Babygirija, Cara L. Green, Michelle M. Sonsalla, Izabelle Marie F. Le, Fan Xiao, Sarah Yandell, Mariah F. Calubag, Michaela E. Trautman, Anna Tobon, Ryan Matoska, Chung‐Yang Yeh, Charles I. Opara, Isaac Grunow, Diana Vertein, Sophia Schlorf, Bailey A. Knopf, Michael J. Rigby, David A. Harris, Mark P. Keller, Alan D. Attie, Luigi Puglielli, Cholsoon Jang, Dudley W. Lamming   +22 more
wiley   +1 more source

Empirical likelihood-based confidence intervals for length-biased data. [PDF]

Stat Med, 2013
Ning J, Qin J, Asgharian M, Shen Y.
europepmc   +1 more source

Understanding and Overcoming Antibody‐Drug Conjugate Resistance: Biological Mechanisms and Emerging Analytical Frameworks in Breast Cancer

Advanced Science, EarlyView.
Antibody–drug conjugates (ADCs) transform breast cancer therapy, yet resistance limits their durability. Emerging evidence reveals that ADC failure is not solely tumor‐intrinsic but shaped by dynamic tumor–microenvironment interactions that alter drug delivery, processing, and response.
Minji Seo, Jangsoon Lee, Naoto T. Ueno
wiley   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

Advanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen, Yang Zhao, Boqiang Hu, Wuke Wang, Minfang Song, Annabeth Xinyu Zhao, Xiangyang Li, Gefei Wang, Yanfen Wang, Weiyan Zheng, Xinpeng Zhang, Xia Lin, Yanbin Yin, Xingxu Huang, Jinfang Zheng, Tingbo Liang   +15 more
wiley   +1 more source