Results 81 to 90 of about 55,986 (262)

Epigenetic reprogramming of lineage switching in cancer

FEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı, Burcu Akman, Ezgi Bağırsakçı, Nese Atabey, Serap Erkek‐Ozhan   +4 more
wiley   +1 more source

Study on Generalization Capability of Support Vector Machine in Splice Site Type Recognition of DNA Sequence

Makara Seri Sains, 2004
Recently, support vector machine has become a popular model as machine learning. A particular advantage of SVM over other machine learning is that it can be analyzed theoretically and at same time can achieve a good performance when applied to real ...
Hendri Murfi, Djati Kerami
doaj  

Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network

FEBS Letters, EarlyView.
Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley   +1 more source

Meta deep reinforcement learning-based link adaptation method for cellular networks

Tongxin xuebao
To address the stringent requirements for reliability and data rate in cellular networks, an efficient and highly generalizable link adaptation method was proposed.
Ye Xiaowen, Lin Hengyi, Wu Yi
doaj  

Prediction of chemical reaction yields with large-scale multi-view pre-training

Journal of Cheminformatics
Developing machine learning models with high generalization capability for predicting chemical reaction yields is of significant interest and importance.
Runhan Shi, Gufeng Yu, Xiaohong Huo, Yang Yang   +3 more
doaj   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

DBAD: Dual branch reconstruction for industrial anomaly detection

Electronics Letters
Reconstruction‐based methods are commonly used in industrial visual anomaly detection. They rely on a well‐reconstructed normal mode of the model. However, it is difficult to manage the boundary of generalization.
Huaze Cai, Shuaishi Liu
doaj   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

Generalization challenges in video deepfake detection: methods, obstacles, and technological advances

大数据
With the rapid development of artificial intelligence, deepfake technology has become a powerful tool for generating realistic audio, images, and videos. However, its widespread use and decreasing costs pose serious threats to personal privacy and social
Li Junjie, Wang Jianzong, Zhang Xulong, Qu Xiaoyang   +3 more
doaj  

A Random Forest Weights and 4-Dimensional Convolutional Recurrent Neural Network for EEG Based Emotion Recognition

IEEE Access
Emotion recognition based on electroencephalography (EEG) signals has garnered substantial attention in recent years and finds extensive applications in the domains of medicine and psychology.
Wenxu Wang, Jia Yang, Shengjia Li, Bin Wang, Kun Yang, Shengbo Sang, Qiang Zhang, Boyuan Liu   +7 more
doaj   +1 more source