Results 41 to 50 of about 561,665 (262)
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
Molecular Oncology, EarlyView.The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
Transitivity matrix of social network graphs [PDF]
2012 IEEE Statistical Signal Processing Workshop (SSP), 2012 Transitivity in friendship graphs has been well known as a key property of social networks. In this paper, we extend the graph transitivity index by introducing a new characteristic quantity of graphs, namely the transitivity matrix. The transitivity matrix measures the microscopic impact that each link has on the global transitivity index of the graph.
Aghagolzadeh, Mohammad +2 more
openaire +1 more source
, 2021 calculate_transition_matrix is a Matlab package that calculates the transition matrix given a set of states of the system L-63 represented by all 2536 UPOs of symbolic sequence period up to 14 and their neighbourhood.
Chiara Cecilia Maiocchi (11245410)
core +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
MATRIX - LIKELIHOOD MODELLING OF TRAINING
, 2018 В данной работе на конкретном примере показана графовая интерпретация процесса усвоения ключевых понятий данной темы. Проведён анализ усвоения с использованием матрицы смежности.
Ganicheva, Antonina
core +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Decreasing the bandwidth of a transition matrix
Information Processing Letters, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
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
Transitive reduction of a nilpotent boolean matrix
Discrete Applied Mathematics, 1984 Given an acyclic digraph, a problem which frequently arises in applications consists in removing the maximum number of arcs without affecting reachability. This removal corresponds to a so-called transitive reduction of the adjacency matrix of the given digraph.
openaire +2 more sources
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source