Results 51 to 60 of about 589,029 (277)

Algorithms of maximum likelihood data clustering with applications

, 2002
We address the problem of data clustering by introducing an unsupervised, parameter free approach based on maximum likelihood principle. Starting from the observation that data sets belonging to the same cluster share a common information, we construct ...
Alter, Blatt, Domany, Eisen, Getz, Getz, Giada, Gopikrishnan, Hartigan, Kirkpatrick, Kullmann, Lauritzen, Lorenzo Giada, Mantegna, Matteo Marsili, Metropolis, Spellman, Tamayo   +17 more
core   +1 more source

Better jet clustering algorithms [PDF]

Journal of High Energy Physics, 1997
32 pages, 16 figures, LaTeX2e, uses JHEP.cls (included). Version to be published in JHEP: reference to LUCLUS algorithm added. Program available at http://www.hep.phy.cam.ac.uk/theory/webber/camjet/
Dokshitzer, Yu. L., Leder, G. D., Moretti, S., Webber, B. R.   +3 more
openaire   +2 more sources

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

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, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

Quantum-annealing-inspired algorithms for multijet clustering

Physics Letters B
Jet clustering or reconstruction is a crucial component at high-energy colliders, a procedure to identify sprays of collimated particles originating from the fragmentation and hadronization of quarks and gluons.
Hideki Okawa, Xian-Zhe Tao, Qing-Guo Zeng, Man-Hong Yung   +3 more
doaj   +1 more source

Effective Density-Based Clustering Algorithms for Incomplete Data

Big Data Mining and Analytics, 2021
Density-based clustering is an important category among clustering algorithms. In real applications, many datasets suffer from incompleteness. Traditional imputation technologies or other techniques for handling missing values are not suitable for ...
Zhonghao Xue, Hongzhi Wang
doaj   +1 more source

Adaptaquin is selectively toxic to glioma stem cells through disruption of iron and cholesterol metabolism

Molecular Oncology, EarlyView.
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié, Davod R. Shah, Eliane E. S. Brechbühl, Michael McNicholas, Zhaoyang Xu, John H. Stockley, Laura Morcom, Diana Gold Diaz, Gemma C. Girdler, Rachel V. Seear, Gabriel Balmus, Rajiv R. Ratan, Harry Bulstrode, James A. Nathan, Manav Pathania, Kevin M. Brindle, David H. Rowitch   +16 more
wiley   +1 more source

Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory

IEEE Access
With the increasing importance of data privacy protection, various privacy-preserving machine learning methods have been proposed. In the clustering domain, various algorithms with a federated learning framework (i.e., federated clustering) have been ...
Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota   +5 more
doaj   +1 more source

Adaptive Evolutionary Clustering

, 2011
In many practical applications of clustering, the objects to be clustered evolve over time, and a clustering result is desired at each time step. In such applications, evolutionary clustering typically outperforms traditional static clustering by ...
AC Harvey, Alfred O. Hero III, DJ Fenn, GW Milligan, H Lütkepohl, H Ning, HW Kuhn, J Schäfer, J Shi, Kevin S. Xu, M Charikar, Mark Kliger, N Eagle, O Ledoit, PJ Mucha, S Haykin, S Tadepalli, T Hastie, T Yang, TW Anderson, U Luxburg von, Y Chen, Y Chi, YR Lin   +23 more
core   +2 more sources

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Solving text clustering problem using a memetic differential evolution algorithm.

PLoS ONE, 2020
The text clustering is considered as one of the most effective text document analysis methods, which is applied to cluster documents as a consequence of the expanded big data and online information.
Hossam M J Mustafa, Masri Ayob, Dheeb Albashish, Sawsan Abu-Taleb   +3 more
doaj   +1 more source