Results 131 to 140 of about 3,295,261 (308)
Molecular Oncology, EarlyView.The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu +3 more
wiley +1 more source
On out-of-equilibrium phenomena in pseudogap phase of complex SYK+U model
Physics Letters B, 2023 In this Letter we consider the out-of-equilibrium phenomena in the complex Sachdev-Ye-Kitaev (SYK) model supplemented with the attractive Hubbard interaction (SYK+U). This model provides the clear-cut transition from non-Fermi liquid phase in pure SYK to
Artem Alexandrov, Alexander Gorsky
doaj
Evaluation of Complex-Valued Neural Networks on Real-Valued Classification Tasks [PDF]
arXiv, 2018 Complex-valued neural networks are not a new concept, however, the use of real-valued models has often been favoured over complex-valued models due to difficulties in training and performance. When comparing real-valued versus complex-valued neural networks, existing literature often ignores the number of parameters, resulting in comparisons of neural ...
arxiv
Molecular Oncology, EarlyView.Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad +13 more
wiley +1 more source
A betweenness structure entropy of complex networks [PDF]
arXiv, 2014 The structure entropy is an important index to illuminate the structure property of the complex network. Most of the existing structure entropies are based on the degree distribution of the complex network. But the structure entropy based on the degree can not illustrate the structure property of the weighted networks.
arxiv
, 2009 An article for the Springer Encyclopedia of Complexity and System ...
Abe, Sumiyoshi, Suzuki, Norikazu
openaire +2 more sources
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 +16 more
wiley +1 more source
Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks
Frontiers in Human Neuroscience, 2019 As the field of dynamic brain networks continues to expand, new methods are needed to allow for optimal handling and understanding of this explosion in data.
Mohsen Bahrami +10 more
doaj +1 more source
Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer
Molecular Oncology, EarlyView.This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu +7 more
wiley +1 more source
Optimal percolation on multiplex networks
Nature Communications, 2017 Multiplex networks consist of a collection of interacting layers and occur in social and technological systems. Here Osat et al. investigate optimal percolation which relates to the process of optimally dismantling multiplex networks and show that ...
Saeed Osat, Ali Faqeeh, Filippo Radicchi
doaj +1 more source