Results 111 to 120 of about 34,284 (266)

Logic‐Gated HSV‐TK/GCV Suicide Gene Circuit for Triple‐Negative Breast Cancer

Advanced Science, EarlyView.
The BRAS comprises two modular genetic components driven by distinct tumor‐specific promoters and a failsafe layer with the NOT gate. This multi‐input logic gate circuit enables precise, specific expression of HSV‐TK in breast cancer cells with hardly expression in normal cell and effectively inhibits tumor growth in a triple‐negative breast cancer ...
Shasha Tang, Yuan Fang, Lingli Jin, Dongyang Liu, Yicheng Liu, Ruijia Zheng, Liyun Yong, Xin Wu, Longliang Qiao, Meiyan Wang, Fengfeng Cai   +10 more
wiley   +1 more source

Auto-Encoding Variational Bayes

, 2013
How can we perform efficient inference and learning in directed probabilistic models, in the presence of continuous latent variables with intractable posterior distributions, and large datasets? We introduce a stochastic variational inference and learning algorithm that scales to large datasets and, under some mild differentiability conditions, even ...
Kingma, D.P., Welling, M.
openaire   +3 more sources

Timing Mechanotransduction: Mechanically Dynamic Biomaterials Reveal the Temporal Hierarchy of YAP/TAZ Control Nodes

Advanced Science, EarlyView.
This work develops dynamically softening polyacrylamide hydrogels for time‐resolved imaging during continuous mechanical transitions. The study revealed that mechanotransduction is biphasic; YAP/TAZ inactivation is driven by early loss of the nucleocytoskeletal continuum connecting subnuclear adhesions, F‐actin, and the nuclear envelope, coupled with ...
Alessandro Gandin, Giada Vanni, Veronica Torresan, Margherita Pelosin, Rebecca Busetto, Anna Citron, Ambela Suli, Paolo Contessotto, Carlo Albanese, Francesca Zanconato, Tito Panciera, Stefano Piccolo, Giovanna Brusatin   +12 more
wiley   +1 more source

Semi-supervised active learning using convolutional auto- encoder and contrastive learning

Frontiers in Artificial Intelligence
Active learning is a field of machine learning that seeks to find the most efficient labels to annotate with a given budget, particularly in cases where obtaining labeled data is expensive or infeasible.
Hezi Roda, Amir B. Geva, Amir B. Geva
doaj   +1 more source

Targeting Lactate and Lactylation in Cancer Metabolism and Immunotherapy

Advanced Science, EarlyView.
Lactate, once deemed a metabolic waste, emerges as a central regulator of cancer progression. This review elucidates how lactate and its epigenetic derivative, protein lactylation, orchestrate tumor metabolism, immune suppression, and therapeutic resistance.
Jiajing Gong, Yuhang Xie, Zhijie Weng, Yongzhi Wu, Longjiang Li, Bo Li   +5 more
wiley   +1 more source

Fault Identi fication of Rolling Bearing Based on Adaptive Wavelet Analysis and Multiple Layers Convolution Extreme Learning Auto-encoder

机车电传动, 2021
Aiming at the problems of rolling bearing vibration signals were dif ficult to identify due to strong time-varying and strong noisy characteristics, a method based on adaptive wavelet analysis (AWA) and multiple layers convolution extreme learning auto ...
Yahong TAN
doaj  

An Artificial Antibody‐Based Toolbox Accelerates Validation of Hidden Microproteins Encoded by the Dark Genome

Advanced Science, EarlyView.
Microproteins are hidden treasures encoded by the “dark proteome” but remain largely underexplored due to the lack of highly efficient tools. We developed a molecularly imprinted polymers (MIPs)‐based toolbox (CLAIMID) to achieve accelerated and ultrasensitive microproteins validation at multiple biological scales (single living cells, cell populations,
Hui He, Anqi Zhang, Zhanchen Guo, Qi Li, Song Gao, Wenyan Guan, Ying Li, Jingran Chen, Sijia Sun, Jian He, Zhen Liu   +10 more
wiley   +1 more source

Mechanism of situation element acquisition based on deep auto-encoder network in wireless sensor networks

International Journal of Distributed Sensor Networks, 2017
In order to reduce the time complexity of situation element acquisition and to cope with the low detection accuracy of small class samples caused by imbalanced class distribution of attack samples in wireless sensor networks, a situation element ...
Jiang Zhu, Yue Ming, Yonghui Song, Sen Wang   +3 more
doaj   +1 more source

Lie Group Auto-Encoder

, 2019
In this paper, we propose an auto-encoder based generative neural network model whose encoder compresses the inputs into vectors in the tangent space of a special Lie group manifold: upper triangular positive definite affine transform matrices (UTDATs).
Gong, Liyu, Cheng, Qiang
openaire   +2 more sources

Auto Encoder and Deep Auto Encoders Based Deep Learning on Medical Data

International Journal of Recent Technology and Engineering (IJRTE), 2019
In rapid growth of medical informatics, patient data need to be organized and used for medical diagnosis and other uses such as disease prediction and drug discovery. There are many more traditional methods used for text based information such as K-NN, K-Means and other clustering algorithms, but image based medical data (or) signals based medical data
Mrs.R.Subathra devi, DR.N. Rama
openaire   +1 more source