Results 51 to 60 of about 1,720,417 (290)

Liver organoids: modelling complexity in homeostasis and disease

open access: yesFEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Matrix Multiplication Using Only Addition [PDF]

open access: yes, 2023
Matrix multiplication consumes a large fraction of the time taken in many machine-learning algorithms. Thus, accelerator chips that perform matrix multiplication faster than conventional processors or even GPU's are of increasing interest. In this paper,
Cussen, Daniel, Ullman, Jeffrey D.
core   +1 more source

Acceleration of Approximate Matrix Multiplications on GPUs

open access: yesEntropy, 2023
Matrix multiplication is important in various information-processing applications, including the computation of eigenvalues and eigenvectors, and in combinatorial optimization algorithms.
Takuya Okuyama   +3 more
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Hybrid optimization technique for matrix chain multiplication using Strassen’s algorithm [version 2; peer review: 3 approved, 1 approved with reservations]

open access: yesF1000Research
Background Matrix Chain Multiplication (MCM) is a fundamental problem in computational mathematics and computer science, often encountered in scientific computing, graphics, and machine learning.
Srinivasarao Thota   +2 more
doaj   +1 more source

Inhibition of cyclin‐dependent kinases 12/13 using CT7439 as a treatment for colorectal cancer with CDK12 upregulation

open access: yesMolecular Oncology, EarlyView.
The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington   +10 more
wiley   +1 more source

Matrix Multiplication Reductions

open access: yesCoRR
In this paper we study a worst case to average case reduction for the problem of matrix multiplication over finite fields. Suppose we have an efficient average case algorithm, that given two random matrices $A,B$ outputs a matrix that has a non-trivial correlation with their product $A \cdot B$.
Gola, Ashish   +2 more
openaire   +4 more sources

Hybrid optimization technique for matrix chain multiplication using Strassen’s algorithm [version 1; peer review: 2 approved, 1 approved with reservations]

open access: yesF1000Research
Background Matrix Chain Multiplication (MCM) is a fundamental problem in computational mathematics and computer science, often encountered in scientific computing, graphics, and machine learning.
Srinivasarao Thota   +2 more
doaj   +1 more source

Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA

open access: yesFEBS Open Bio, EarlyView.
PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro   +1 more
wiley   +1 more source

Sparse Matrix Multiplication Kernels [PDF]

open access: yes, 2018
The fast progress of information technology in the present years led to a substantial growth interms of the volume of data to be analyzed and the size of the problems needed to be solved.Since the Eighties, the formulation of out-of-memory models of ...
Dusefante, Matteo
core   +4 more sources

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