Results 61 to 70 of about 1,986,530 (277)
Molecular Oncology, EarlyView.A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source
Semesta Teknika, 2016 The selection process among outstanding students in a department has a big problem. This process is not fair because only involve one criteria and ignore the other criteria.
Asroni Asroni, Ronald Adrian
doaj
BarekengFlooding show situation where areas that are not usually inundated, such as farmland and settlements, and city district areas, become inundated due to water.
Desi Nurjanah +2 more
doaj +1 more source
Molecular Oncology, EarlyView.This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
Speeding up k-Means algorithm by GPUs [PDF]
Journal of Computer and System Sciences, 2010 Cluster analysis plays a critical role in a wide variety of applications; but it is now facing the computational challenge due to the continuously increasing data volume. Parallel computing is one of the most promising solutions to overcoming the computational challenge.
Li, You +3 more
openaire +1 more source
Molecular Oncology, EarlyView.A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath +13 more
wiley +1 more source
Illiteracy Classification Using K Means-Naïve Bayes Algorithm
JOIV: International Journal on Informatics Visualization, 2018 Illiteracy is an inability to recognize characters, both in order to read and write. It is a significant problem for countries all around the world including Indonesia.
Muhammad Firman Aji Saputra +2 more
doaj +1 more source
Tree-Based Algorithm for Stable and Efficient Data Clustering
Informatics, 2020 The K-means algorithm is a well-known and widely used clustering algorithm due to its simplicity and convergence properties. However, one of the drawbacks of the algorithm is its instability.
Hasan Aljabbouli +2 more
doaj +1 more source
An adaptive outlier removal aided k-means clustering algorithm
Journal of King Saud University: Computer and Information Sciences, 2022 K-means is one of ten popular clustering algorithms. However, k-means performs poorly due to the presence of outliers in real datasets. Besides, a different distance metric makes a variation in data clustering accuracy. Improve the clustering accuracy of
Nawaf H.M.M. Shrifan +2 more
doaj +1 more source
Colour Constancy Using K-Means Clustering Algorithm [PDF]
2016 9th International Conference on Developments in eSystems Engineering (DeSE), 2016 Colour cast is the ambient presence of unwanted colour in digital images due to the source illuminant while colour constancy is the ability to perceive colors of object, invariant to the colour of the source illuminant. Existing statistic based colour constancy methods use whole image pixel values for illuminant estimation. However, not every region of
Akmol Hussain, MD +2 more
openaire +1 more source