Results 81 to 90 of about 14,368 (309)
On the matrix of rank one over a UFD [PDF]
In this paper we characterize all matrices of rank one over a unique factorization domain (UFD). Also we find the Rmodule generated by the rows and the R-module generated by the columns of a matrix of rank one and assert some properties of them.
Somayeh Hadjirezaei, Somayeh Karimzadeh
doaj +1 more source
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
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
A finite-difference method for linearization in nonlinear estimation algorithms [PDF]
Linearizations of nonlinear functions that are based on Jacobian matrices often cannot be applied in practical applications of nonlinear estimation techniques. An alternative linearization method is presented in this paper.
Tor S. Schei
doaj +1 more source
Factorization of Matrices and Minkowski's Conjecture [PDF]
Let Rn denote real Euclidean space of n dimensions. Ifdefine , and (as usual) so that, by the inequality of arithmetic and geometric means,Let Λ0 be the integer lattice, consisting of those points in Rn whose co-ordinates are integers. A non-singular n × n matrix M will be called a Minkowski matrix, if, for any point a ∈ Rn, there exists a point x ...
openaire +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
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
Traditional wet experiments to identify drug–target interactions (DTIs) are costly and time consuming. Therefore, machine learning-based methods are commonly used to speed up the identification process.
Junjun Zhang, Tingfeng Zeng
doaj +1 more source
Batched Cholesky factorization for tiny matrices [PDF]
Many linear algebra libraries, such as the Intel MKL, Magma or Eigen, provide fast Cholesky factorization. These libraries are suited for big matrices but perform slowly on small ones. Even though State-of-the-Art studies begin to take an interest in small matrices, they usually feature a few hundreds rows.
Lemaitre, Florian, Lacassagne, Lionel
openaire +2 more sources
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
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
Computation of Normalized Coprime Factorizations of Rational Matrices
We propose a new computational approach based on descriptor state space algorithms for computing normalized coprime factorizations of arbitrary rational matrices.
A. Varga, Varga, A.
core
Factorization of block matrices
An LU-type factorization theorem due to Elsner and to Gohberg and Goldberg is generalized to block matrices. One form of the general factorization takes the form LMU, where L is block lower-triangular, U is block upper-triangular, and M is a ...
Gohberg, Israel +2 more
core +1 more source

