Results 141 to 150 of about 1,420,545 (206)

Chromatin Organization Governs Transcriptional Response and Plasticity of Cancer Stem Cells

Advanced Science, EarlyView.
Through a combination of transcriptomic and histone mapping studies integrated with chromatin imaging, we define how chromatin organization in nanoscale packing domains fine tunes the plasticity of cancer stem cells (CSCs) driving evasion from and survival after chemotherapy.
Yinu Wang, Jane Frederick, Karla Isabel Medina, Elizabeth Thomas Bartom, Luay Matthew Almassalha, Yaqi Zhang, Greta Wodarcyk, Hao Huang, I Chae Ye, Ruyi Gong, Cody Levi Dunton, Alex Duval, Paola Carrillo Gonzalez, Joshua Pritchard, John Carinato, Iuliia Topchu, Junzui Li, Zhe Ji, Mazhar Adli, Vadim Backman, Daniela Matei   +20 more
wiley   +1 more source

The Reasonable Ineffectiveness of Mathematics in the Biological Sciences. [PDF]

Entropy (Basel)
Garte S, Marshall P, Kauffman S.
europepmc   +1 more source

A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search

Advanced Science, EarlyView.
Pareto Monte Carlo Tree Search Molecular Generation (PMMG), a molecular generation approach leveraging Monte Carlo Tree Search (MCTS) and Pareto algorithm, efficiently explores the Pareto front in high‐dimensional objective spaces for multi‐objective drug design.
Yifei Liu, Yiheng Zhu, Jike Wang, Renling Hu, Chao Shen, Wanglin Qu, Gaoang Wang, Qun Su, Yuchen Zhu, Yu Kang, Peichen Pan, Chang‐Yu Hsieh, Tingjun Hou   +12 more
wiley   +1 more source

Analyzing the neural wave structures in the field of neuroscience. [PDF]

Sci Rep
Younas U, Muhammad J, Almutairi DK, Khan A, Abdeljawad T.   +4 more
europepmc   +1 more source

UniMap: Type‐Level Integration Enhances Biological Preservation and Interpretability in Single‐Cell Annotation

Advanced Science, EarlyView.
UniMap introduces a novel multiselective adversarial network that functions as a discerner in single‐cell dataset integration. It enables type‐level integration, ensuring accurate cell type annotation across diverse biological contexts while preserving shared and domain‐specific features.
Haitao Hu, Yue Guo, Fujing Ge, Hao Yin, Hao Zhang, Zhesheng Zhou, Fangjie Yan, Qing Ye, Jialu Wu, Ji Cao, Chang‐Yu Hsieh, Bo Yang   +11 more
wiley   +1 more source

Analysis of Gender Issues in Computational Thinking Approach in Science and Mathematics Learning in Higher Education. [PDF]

Eur J Investig Health Psychol Educ
De la Hoz Serrano A, Melo Niño LV, Álvarez Murillo A, Martín Tardío MÁ, Cañada Cañada F, Cubero Juánez J.   +5 more
europepmc   +1 more source

Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics

Advanced Science, EarlyView.
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch, Brittany Scheid, Kathryn A Davis, Brian Litt, Arian Ashourvan   +4 more
wiley   +1 more source

Editorial: Integrating machine learning with physics-based modeling of physiological systems. [PDF]

Front Physiol
Lee JH, Gao H, Döllinger M.
europepmc   +1 more source

scHeteroNet: A Heterophily‐Aware Graph Neural Network for Accurate Cell Type Annotation and Novel Cell Detection

Advanced Science, EarlyView.
scHeteroNet) is a novel graph neural network model that explicitly addresses heterophily in single‐cell sequencing data enabling accurate cell type annotation and novel cell type discovery. By leveraging heterophily‐aware message passing and novelty propagation mechanisms, scHeteroNet achieves superior performance in both cell annotation and detection ...
Jiacheng Liu, Xingyu Fan, Chunbin Gu, Yaodong Yang, Bian Wu, Guangyong Chen, Chang‐Yu Hsieh, Pheng‐Ann Heng   +7 more
wiley   +1 more source

Response to comment on: Toward an optimal contraception dosing strategy. [PDF]

PLoS Comput Biol
Gavina BLA, de Los Reyes V AA, Olufsen MS, Lenhart S, Ottesen JT.   +4 more
europepmc   +1 more source