Results 221 to 230 of about 1,838,529 (264)

Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding

FEBS Letters, EarlyView.
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança, Eline L. Jansen, Jorine M. Eeftens   +2 more
wiley   +1 more source

Optimization of hybrid solar chimney power plant using Pearson and k-means analysis for green hydrogen and electricity production. [PDF]

Sci Rep
Jemal A, Yahya Z, Drame O, Mahmoud AM, Alhodaib A, Ali V, Khan O, Yadav AK.   +7 more
europepmc   +1 more source

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, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

A novel approach for the segmentation of retinal images by integration K-means clustering algorithm with graph cut for image segmentation. [PDF]

Sci Rep
Bhoopalan R, Priyadharshini S.
europepmc   +1 more source

Location optimization of cold chain logistics parks based on Bayesian probability theory and K-means clustering analysis in China. [PDF]

Sci Rep
Wang L, Liu X, Wang X, Jiang Y.
europepmc   +1 more source

Hyperspectral imaging and K-means clustering for material structure classification and detection of unmanned aerial vehicles. [PDF]

Sci Rep
Saber A, Mahmoud A, El-Sharkawy YH.
europepmc   +1 more source

Data-Driven Classification of Solubility Space in Deep Eutectic Solvents: Deciphering Driving Forces Using PCA and K-Means Clustering. [PDF]

Molecules
Cysewski P, Przybyłek M, Jeliński T.
europepmc   +1 more source

The impact of neglecting feature scaling in k-means clustering. [PDF]

PLoS One
Wongoutong C.
europepmc   +1 more source

Smart defense based on explainable stacked machine learning architecture for securing internet of health things with K-means clustering. [PDF]

Sci Rep
Saba T, Rehman A, Mujahid M, Al-Rasheed A, Al-Otaibi S, Yousif A.   +5 more
europepmc   +1 more source

k -means: A revisit

Neurocomputing, 2018
Abstract Due to its simplicity and versatility, k-means remains popular since it was proposed three decades ago. The performance of k-means has been enhanced from different perspectives over the years. Unfortunately, a good trade-off between quality and efficiency is hardly reached. In this paper, a novel k-means variant is presented.
Wan-Lei Zhao, Chong Wah Ngo
exaly   +4 more sources