Results 61 to 70 of about 116,552 (326)
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh +8 more
wiley +1 more source
Moment-Based Spectral Analysis of Large-Scale Generalized Random Graphs
This paper investigates the spectra of the adjacency matrix and Laplacian matrix for an artificial complex network model-the generalized random graph. We deduce explicit expressions for the first four asymptotic spectral moments of the adjacency matrix ...
Qun Liu, Zhishan Dong, En Wang
doaj +1 more source
Contribution of directedness in graph spectra
In graph analyses, directed edges are often approximated to undirected ones so that the adjacency matrices may be symmetric. However, such a simplification has not been thoroughly verified. In this study, we investigate how directedness affects the graph
Masaki Ochi, Tatsuro Kawamoto
doaj +1 more source
Genomics‐led approach to drug testing in models of undifferentiated pleomorphic sarcoma
GA text Genomic data from undifferentiated pleomorphic sarcoma patients and preclinical models were used to inform a targeted drug screen. Selected compounds were tested in 2D and 3D cultures of UPS cell lines. A combination of trametinib and infigratinib was synergistic in the majority of UPS cell lines tested, which was further confirmed in an ex ...
Piotr J. Manasterski +19 more
wiley +1 more source
Minimum eigenvalue of the complement of tricyclic graphs with n-4 pendent vertexes
In order to discuss the minimum eigenvalue of adjacency matrix in the class of complementary graphs of the tricyclic graph with a given order of n and n-4 pendent vertexes, the unique graph whose minimum eigenvalue reaches the minimum is characterized ...
Hongjuan JU, Yingjie LEI
doaj +1 more source
Spatial‐temporal slowfast graph convolutional network for skeleton‐based action recognition
In skeleton‐based action recognition, the graph convolutional network (GCN) has achieved great success. Modelling skeleton data in a suitable spatial‐temporal way and designing the adjacency matrix are crucial aspects for GCN‐based methods to capture ...
Zheng Fang +4 more
doaj +1 more source
The k-adjacency operators and adjacency Jacobi matrix on distance-regular graphs
We deal in this work with a class of graphs, namely, the class of distance-regular graphs, in which on the basis of $k$-adjacency operators, the adjacency operator $A$ of a distance-regular graph is identified as a Jacobi matrix. To get so, the set of the $k$-adjacency operators is recognized as a canonical basis in a certain Hilbert space, where the ...
openaire +2 more sources
In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková +14 more
wiley +1 more source
Interval Valued Secondary k-Range Symmetric Quadri Partitioned Neutrosophic Fuzzy Matrices with Decision Making [PDF]
The objective of this study is to establish the results concerning Interval-Valued (IV) Secondary k-Range Symmetric (RS) Quadri Partitioned Neutrosophic Fuzzy Matrices (QPNFM).
K. Radhika +5 more
doaj +1 more source
The adjacency matrix of one type of graph and the Fibonacci numbers [PDF]
Recently there is huge interest in graph theory and intensive study on computing integer powers of matrices. In this paper, we investigate relationships between one type of graph and well-known Fibonacci sequence.
Bozkurt, Durmuş +2 more
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