Results 211 to 220 of about 1,141,381 (319)

Gal3‐CaN‐Smurf1 Complex Sequestrates FLCN‐FNIPs to Facilitate TFEB Activation in Response to Endomembrane Damage

Advanced Science, EarlyView.
The schematic diagram illustrates the role of the recruitment of Gal3‐CaN‐Smurf1 complex in maintaining lysosomal membrane homeostasis upon damage. On the one hand, the Gal3‐CaN‐Smurf1 complex sequesters FLCN‐FNIPs to block the activation of RagC, where the active form RagC‐GDP is responsible for TFEB phosphorylation.
Qin Xia, Ziwan Liu, Gaoqing Feng, Wanting Xu, HuaHua Wang, Haihang Su, Jiaqian Li, Dan Liu, Jun Qu, Tonghui Yu, Lei Dong   +10 more
wiley   +1 more source

Commentary: Teaching Statistics as Minor Subject-Handing on Fire, Not Worshipping Ashes. [PDF]

Stat Med
Nold M, Heinze G.
europepmc   +1 more source

Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical Transition

Advanced Science, EarlyView.
The study proposes a causal network markers (CNMs) framework to identify early‐warning signals preceding critical transitions. It validates CNMs on various computational benchmark models and real‐world datasets, demonstrating higher accuracy and flexibility compared to existing approaches.
Shirui Bian, Zezhou Wang, Siyang Leng, Wei Lin, Jifan Shi   +4 more
wiley   +1 more source

Commentary: Breaking tradition: should biostatistics doctoral qualifying exams evolve to better serve our students' ability to demonstrate readiness to conduct independent research? [PDF]

Front Public Health
Spieker AJ.
europepmc   +1 more source

Mathematical Statistics [PDF]

Nature, 1947
openaire   +2 more sources

A Replicable and Generalizable Neuroimaging‐Based Indicator of Pain Sensitivity Across Individuals

Advanced Science, EarlyView.
Humans differ in their sensitivity to pain. With six large and diverse fMRI datasets (total N = 1046), this study finds that such individual differences in pain sensitivity can be tracked by fMRI responses to painful stimuli. A highly generalizable machine learning model is further built to predict pain sensitivity across all datasets and analgesic ...
Li‐Bo Zhang, Xue‐Jing Lu, Hui‐Juan Zhang, Zhao‐Xing Wei, Ya‐Zhuo Kong, Yi‐Heng Tu, Gian Domenico Iannetti, Li Hu   +7 more
wiley   +1 more source

Outliers and anomalies in training and testing datasets for AI-powered morphometry-evidence from CT scans of the spleen. [PDF]

Front Artif Intell
Vasilev Y, Pamova A, Bobrovskaya T, Vladzimirskyy A, Omelyanskaya O, Astapenko E, Kruchinkin A, Vladimir N, Arzamasov K.   +8 more
europepmc   +1 more source

Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy

Advanced Science, EarlyView.
Resting‐state fMRI captures intrinsic brain activity, yet the physical significance of latency structures remains unclear. In this study, the spatiotemporal properties of fMRI‐derived latency structures are examined by linking them to biophysical model‐based neural functions, intrinsic neural timescales, and functional gradients.
Hyoungshin Choi, Yeongjun Park, Jong‐eun Lee, Sunghun Kim, Bo‐yong Park, Hyunjin Park   +5 more
wiley   +1 more source

Theory of random measurement errors: concepts, uses, and misuses. [PDF]

Arh Hig Rada Toksikol
Zauner B, Petrinec B, Bituh T, Ceci S, Volarić N, Včev A, Vukoja A, Babić D.   +7 more
europepmc   +1 more source

SCRIPT: Predicting Single‐Cell Long‐Range Cis‐Regulation Based on Pretrained Graph Attention Networks

Advanced Science, EarlyView.
SCRIPT is a novel method inferring single‐cell cis‐regulatory relationships (CRRs) from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas‐scale single‐cell data.
Yu Zhang, Baole Wen, Yifeng Jiao, Yuchen Liu, Xin Guo, Yushuai Wu, Jiyang Li, Limei Han, Yinghui Xu, Xin Gao, Yuan Qi, Yuan Cheng, Ying He, Weidong Tian   +13 more
wiley   +1 more source