Results 81 to 90 of about 3,066,756 (267)

Autoregressive Moving Average Graph Filtering

, 2016
One of the cornerstones of the field of signal processing on graphs are graph filters, direct analogues of classical filters, but intended for signals defined on graphs. This work brings forth new insights on the distributed graph filtering problem.
Isufi, Elvin, Leus, Geert, Loukas, Andreas, Simonetto, Andrea   +3 more
core   +1 more source

Virk: An Active Learning-based System for Bootstrapping Knowledge Base Development in the Neurosciences

Frontiers in Neuroinformatics, 2013
The frequency and volume of newly-published scientific literature is quickly making manual maintenance of publicly-available databases of primary data unrealistic and costly.
Kyle H. Ambert, Aaron M. Cohen, Gully APC Burns, Eilis eBoudreau, Kemal eSonmez   +4 more
doaj   +1 more source

Cellular liquid biopsy provides unique chances for disease monitoring, preclinical model generation and therapy adjustment in rare salivary gland cancer patients

Molecular Oncology, EarlyView.
We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić, Florian Lüke, Steffi Treitschke, Andrea Coluccio, Martin Hoffmann, Giancarlo Feliciello, Adithi Ravikumar Varadarajan, Xin Lu, Kathrin Weidele, Catherine Botteron, Silvia Materna–Reichelt, Felix Keil, Katja Evert, Florian Weber, Thomas Schamberger, Michael Althammer, Jirka Grosse, Dirk Hellwig, Christian Schulz, Stephan Seitz, Peter Ugocsai, Anke Schlenska‐Lange, Roman Mayr, Ulrich Kaiser, Wolfgang Dietmaier, Bernhard Polzer, Jens Warfsmann, Kamran Honarnejad, Tobias Pukrop, Daniel Heudobler, Christoph A. Klein, Christian Werno   +31 more
wiley   +1 more source

Deep Hashing Similarity Learning for Cross-Modal Retrieval

IEEE Access
In the realm of cross-modal retrieval research, hash methods have garnered significant attention from scholars due to their high retrieval efficiency and low storage costs. However, these methods often sacrifice a considerable amount of semantic features
Ying Ma, Meng Wang, Guangyun Lu, Yajun Sun   +3 more
doaj   +1 more source

Integrative systems‐level analysis reveals a contextual crosstalk between hypoxia and global metabolism in human breast tumors

Molecular Oncology, EarlyView.
Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam, Salem Chouaib, Mohammad Askandar Iqbal   +2 more
wiley   +1 more source

Learning Graph Embedding with Adversarial Training Methods

, 2019
Graph embedding aims to transfer a graph into vectors to facilitate subsequent graph analytics tasks like link prediction and graph clustering. Most approaches on graph embedding focus on preserving the graph structure or minimizing the reconstruction ...
Fung, Sai-fu, Hu, Ruiqi, Jiang, Jing, Long, Guodong, Pan, Shirui, Zhang, Chengqi   +5 more
core   +1 more source

RAINBOW VERTEX CONNECTION NUMBER OF BULL GRAPH, NET GRAPH, TRIANGULAR LADDER GRAPH, AND COMPOSITION GRAPH (P_n [P_1 ])

Barekeng
The rainbow connection was first introduced by Chartrand in 2006 and then in 2009 Krivelevich and Yuster first time introduced the rainbow vertex connection. Let graph be a connected graph.
Muhammad Ilham Nurfaizi Annadhifi, Robiatul Adawiyah, Dafik Dafik, I Nengah Suparta   +3 more
doaj   +1 more source

Crosstalk between gut microbiota and tumor: tumors could cause gut dysbiosis and metabolic imbalance

Molecular Oncology, EarlyView.
In this research, we analyzed the relationship between gut microbiota and tumor. We discovered that both subcutaneous and metastatic tumors would alter the composition and metabolic function of gut microbiota. Meanwhile, fecal microbiota transplantation also indicated the anti‐tumor role of the gut microbiota, revealing the crosstalk between tumor and ...
Siyuan Zhang, Haimei Wen, Ying Chen, Jingya Ning, Di Hu, Yujiao Dong, Chenyu Yao, Bo Yuan, Shuanying Yang   +8 more
wiley   +1 more source

The analysis of the implementation of RBL-STEM learning materials in improving student’s meta-literacy ability to solve wallpaper decoration problems using local antimagic graph coloring techniques

Heliyon, 2023
The tessellation problem is interesting to study, especially when it is associated with mathematical concepts. In this study, a graph coloring technique will be applied to solve the problem of wallpaper tessellation decoration. The main objective of this
Dafik, Kadir, T.K. Maryati, Sufirman, Z.R. Ridlo   +4 more
doaj  

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source