Results 51 to 60 of about 64,981 (259)
Molecular Oncology, EarlyView.HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto +13 more
wiley +1 more source
Semantic Consistency Cross-Modal Retrieval With Semi-Supervised Graph Regularization
IEEE Access, 2020 Most of the existing cross-modal retrieval methods make use of labeled data to learn projection matrices for different modal data. These methods usually learn the original semantic space to bridge the heterogeneous gap, ignoring the rich semantic ...
Gongwen Xu, Xiaomei Li, Zhijun Zhang
doaj +1 more source
Perfect match: Improved cross-modal embeddings for audio-visual synchronisation
, 2018 This paper proposes a new strategy for learning powerful cross-modal embeddings for audio-to-video synchronization. Here, we set up the problem as one of cross-modal retrieval, where the objective is to find the most relevant audio segment given a short ...
Chung, Joon Son +2 more
core +1 more source
Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity
Molecular Oncology, EarlyView.Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung +17 more
wiley +1 more source
Cross modal recipe retrieval with fine grained modal interaction
Scientific ReportsDesigning systems capable of finding relevant cooking recipes given a user-submitted food image, or vice versa, cross-modal recipe retrieval has gained significant attention in recent years.
Fan Zhao +3 more
doaj +1 more source
Cross-Modal Retrieval via Similarity-Preserving Learning and Semantic Average Embedding
IEEE Access, 2020 Cross-modal retrieval takes one modality data as the query to search related data from different modalities (e.g. images vs. texts). As the heterogeneous gap exists between different media data, mainstream methods focus on reducing modality gap using ...
Tao Zhi, Yingchun Fan, Hong Han
doaj +1 more source
TDCMR: Triplet-Based Deep Cross-Modal Retrieval for Geo-Multimedia Data
Applied Sciences, 2021 Mass multimedia data with geographical information (geo-multimedia) are collected and stored on the Internet due to the wide application of location-based services (LBS).
Jiagang Song +4 more
doaj +1 more source
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval
, 2018 In this paper, we propose a novel deep generative approach to cross-modal retrieval to learn hash functions in the absence of paired training samples through the cycle consistency loss.
Shao, Ling, Wang, Yang, Wu, Lin
core +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Cross Modal Retrieval with Querybank Normalisation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Accepted at CVPR ...
Bogolin, Simion-Vlad +4 more
openaire +2 more sources