Results 91 to 100 of about 2,690,463 (245)
Cluster Validity and Stability of Clustering Algorithms [PDF]
, 2004 For many clustering algorithms, it is very important to determine an appropriate number of clusters, which is called cluster validity problem. In this paper, we offer a new approach to tackle this issue. The main point is that the better outputs of clustering algorithm, the more stable.
Jian Yu 0001 +2 more
openaire +1 more source
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
FEBS Open Bio, EarlyView.Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
Autonomous clustering using rough set theory [PDF]
, 2008 This paper proposes a clustering technique that minimises the need for subjective human intervention and is based on elements of rough set theory. The proposed algorithm is unified in its approach to clustering and makes use of both local and global ...
Chandra Kambhampati +3 more
core +1 more source
Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA
FEBS 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
An efficient k-modes algorithm for clustering categorical datasets [PDF]
, 2022 Mining clusters from data is an important endeavor in many applications. The k-means method is a popular, efficient, and distribution-free approach for clustering numerical-valued data, but does not apply for categorical-valued observations.
Maitra, Ranjan, Dorman, Karin S.
core
Multicanonical cluster algorithm
Nuclear Physics B - Proceedings Supplements, 1993 4 pages, 4 ps-figures, LATTICE '92 contribution. Latex, uses espcrc2.sty (available from hep-lat, use Subj: get espcrc2.sty).
openaire +2 more sources
Clustering algorithms: A comparative approach
PLOS ONE, 2019 De nombreux systèmes du monde réel peuvent être étudiés en termes de tâches de reconnaissance de formes, de sorte qu'une bonne utilisation (et compréhension) des méthodes d'apprentissage automatique dans des applications pratiques devient essentielle. Bien que de nombreuses méthodes de classification aient été proposées, il n'y a pas de consensus sur ...
Mayra Z. Rodriguez +6 more
openaire +5 more sources
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
FEBS Open Bio, EarlyView.Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Coping With New Challengens for Density-Based Clustering [PDF]
, 2004 Knowledge Discovery in Databases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data.
Kröger, Peer
core +1 more source
Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank
FEBS Open Bio, EarlyView.Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source