Results 151 to 160 of about 181,909 (270)

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

Advanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan, Tao Luo, Yu Lin, Xiao‐Jun Wu, Wen‐Kang Shen, Jie Chen, Qian Lei, An‐Yuan Guo   +7 more
wiley   +1 more source

Valuation of science and technology innovation enterprises based on XGBoost-GA-BP neural network model. [PDF]

Sci Rep
Shen C, Xiang L, Wang W.
europepmc   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

Real time dynamic adhesion coefficient estimation and BP neural network optimized lateral stability control for distributed drive electric vehicles. [PDF]

Sci Rep
Zhou Z, Yang R, Xu F, Shen W.
europepmc   +1 more source

From Natural Discovery to AI‐Guided Design: A Curated Collection of Compact Enhancers for Crop Engineering

Advanced Science, EarlyView.
ABSTRACT Precise transgene‐free gene upregulation remains a challenge in crop biotechnology, as conventional enhancers often exceed CRISPR‐mediated knock‐in size constraints and face regulatory hurdles. Here we establish a foundational cross‐species resource of compact transcriptional enhancers developed via STEM‐seq, a high‐throughput screening ...
Qi Yao, Jin Gao, Keling Wang, Yufeng Liu, Peijin Han, Hong Pan, Xiaofeng Yang, Qianlan Yin, Dating Zhong, Lu Ye, Qi Deng, Lingling Gao, Xiaoyu Tu, Dequan Wang, Yuming Lu   +14 more
wiley   +1 more source

Research on reliability of capacitors and transistors based on BP neural network and Icepak simulation. [PDF]

Sci Rep
He Y, Yang X, Zhai X.
europepmc   +1 more source

Calcium Channel Blockers Inhibit Pancreatic Neuroendocrine Neoplasms Progression via Cav1.2‐Epigenetic Circuit

Advanced Science, EarlyView.
Our study reveals a novel mechanism of a positive regulatory circuit between Cav1.2 and H3K27ac for pancreatic neuroendocrine neoplasms (pNENs) progression. Cav1.2 is identified as a crucial target for promoting disease progression and correlates with malignant behaviors, which are remarkably inhibited by the administration of calcium channel blockers (
Yangyinhui Yu, Qiongcong Xu, Jinzhao Xie, Mingjian Ma, Xitai Huang, Yinhao Shi, Jiawei Zhou, Enliang Zhu, Ziyi Zhao, Ning Zhang, Zhide Liu, Jingyuan Ye, Xiaoyu Yin   +12 more
wiley   +1 more source

Research on shale TOC prediction method based on improved BP neural network. [PDF]

Sci Rep
Wu C, Huang K, Sun Z, Li Y, Li Y, Hao Y, Sun Z, Wang Z.   +7 more
europepmc   +1 more source

β‐Adrenergic Signaling Promotes Anti‐Tumor Immunity in TP53‐mutant Oral Squamous Cell Carcinoma

Advanced Science, EarlyView.
β‐adrenergic stimulation enhances anti‐tumor immunity in TP53‐deficient oral squamous cell carcinoma by inducing tumor‐derived secretion of CXCL10, which attracts and activates cytotoxic CD8+ T cells. The findings demonstrate that β‐adrenergic signaling alters tumor–immune interactions via CXCL10‐mediated paracrine activation, revealing a neuro‐immune ...
Frederico O. Gleber‐Netto, Deborah Silverman, Tongxin Xie, Shamima Akhter, Nicole R. Vaughn, Adewale Adebayo, Kala Chand Debnath, Shorook Naara, Shajedul Islam, Erik Knutsen, Emily Lorin Ashkin, Simone Anfossi, Sara Leahey, Patrick Hwu, Sebastien Talbot, Erica K Sloan, Robert Saddawi‐Konefka, Roberto Rangel, Jeffrey N. Myers, George A. Calin, Moran Amit   +20 more
wiley   +1 more source

Improved prediction model for daily PM_2.5 concentrations with particle swarm optimization and BP neural network. [PDF]

Sci Rep
Liu Z, Hu Y, Fang Z, Xiong S, Wang L, Bao C.   +5 more
europepmc   +1 more source