Results 191 to 200 of about 686,580 (270)

Comprehensive Characterization of the Immune Microenvironment Based on Nested Resampling Machine Learning Framework Identifies TRAF3 Interacting Protein 3 as a Promising Regulator to Improve the Resistance to Immunotherapy in Glioma

Advanced Science, EarlyView.
This study develops a nested resampling machine learning framework to establish the Immune Glioma Survival Signature (IGLoS), which stratifies glioma patients and predicts immunotherapy resistance. Multi‐omics analyses reveal TRAF3IP3 as a pivotal regulator of PD‐L1 expression and T‐cell exhaustion via ERK‐NFATC2 signaling.
Yanbo Yang, Fei Wang, Yulian Zhang, Run Huang, Chuanpeng Zhang, Lu Zhao, Hanhan Dang, Xinyu Tao, Yue Lu, Dengfeng Lu, Yunsheng Zhang, Kun He, Jiancong Weng, Zhouqing Chen, Zhong Wang, Yanbing Yu   +15 more
wiley   +1 more source

Machine learning approaches for predicting the link of the global trade network of liquefied natural gas. [PDF]

PLoS One
Zhao P, Song H, Ling G.
europepmc   +1 more source

Brain‐Inspired Polymer Dendrite Networks for Morphology‐Dependent Computing Hardware

Advanced Science, EarlyView.
Although process variability is often perceived as a drawback in electronics, this work harnesses the stochastic nature of electropolymerization as a powerful ally for computation. The resulting conductive polymer dendrites exhibit unique structure‐property relationships and support in memory computing, paving the way for the development of a new class
Corentin Scholaert, Yannick Coffinier, Sébastien Pecqueur, Fabien Alibart   +3 more
wiley   +1 more source

Machine and deep learning models for predicting high pressure density of heterocyclic thiophenic compounds based on critical properties. [PDF]

Sci Rep
Sheikhshoaei AH, Khoshsima A.
europepmc   +1 more source

COMPARATIVE STUDY OF MACHINE LEARNING KNN, SVM, AND DECISION TREE ALGORITHM TO PREDICT STUDENT’S PERFORMANCE

, 2019
Slamet Wiyono, Taufiq Abidin
openalex   +2 more sources

Drug Resistance Predictions Based on a Directed Flag Transformer

Advanced Science, EarlyView.
 CAPTURE, a deep learning framework combining structural and sequence data to predict drug‐resistant Mpro mutations, revealing that PAXLOVID use may be accelerating resistance—supporting real‐time viral surveillance and therapeutic design. Abstract The evolving SARS‐CoV‐2 virus threatens global public health, particularly with potential resistance to ...
Dong Chen, Gengzhuo Liu, Hongyan Du, Benjamin Jones, Junjie Wee, Rui Wang, Jiahui Chen, Jana Shen, Guo‐Wei Wei   +8 more
wiley   +1 more source

Deriving equivalent symbol-based decision models from feedforward neural networks. [PDF]

Front Artif Intell
Seidel S, Borghoff UM.
europepmc   +1 more source

A case of in-streaming-learning: how to program with Z-tree software to design experiments on economic decision making

, 2019
Nuria Hernández León, Ricardo Gouveia Rodrigues, Mario Diogo   +2 more
openalex   +2 more sources

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

Advanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma   +8 more
wiley   +1 more source

Predictive modeling of oil rate for wells under gas lift using machine learning. [PDF]

Sci Rep
Ma F, Altalbawy FMA, Patel P, Manjunatha R, Kalia R, Formanova S, Naveen PR, Joshi KK, Sinha A, Kandahari AY, Al-Rubaye TMK, Alam MM.   +11 more
europepmc   +1 more source