Results 71 to 80 of about 371,575 (291)

Engineered Allosteric Biosensor for In Situ DNA Glycosylase Detection in Neuroblastoma Risk Stratification and Drug Resistance Monitoring

Advanced Science, EarlyView.
An engineered allosteric biosensor (UUU‐DZ‐tFNA) was developed, in which UDG specifically recognizes and activates a DNAzyme to achieve signal cycle amplification in a sequentially activatable mode. UUU‐DZ‐tFNA achieves in situ UDG detection across multiple biological levels and facilitates risk stratification and drug resistance monitoring of NB ...
Yaqing Lu, Yingyu Zhang, Xianwei Zhang, Mengxin Zhang, Fei Zhang, Jushan Sun, Yahui Yang, Kangbo Liu, Peng Wang, Shuying Luo, Wancun Zhang   +10 more
wiley   +1 more source

Klasifikasi Posting Twitter Kemacetan Lalu Lintas Kota Bandung Menggunakan Naive Bayesian Classification

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013
Abstrak Setiap hari server Twitter menerima data tweet dengan jumlah yang sangat besar, dengan demikian, kita dapat melakukan data mining yang digunakan untuk tujuan tertentu. Salah satunya adalah untuk visualisasi kemacetan lalu lintas di sebuah kota.
Sandi Fajar Rodiyansyah, Edi Winarko
doaj   +3 more sources

A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays

BMC Bioinformatics, 2006
Background Uncertainty often affects molecular biology experiments and data for different reasons. Heterogeneity of gene or protein expression within the same tumor tissue is an example of biological uncertainty which should be taken into account when ...
Piergiorgi Paolo, Magni Paolo, Demichelis Francesca, Rubin Mark A, Bellazzi Riccardo   +4 more
doaj   +1 more source

A Novel Fuzzy Linguistic Fusion Approach to Naive Bayes Classifier for Decision Making Applications [PDF]

, 2020
Naive Bayes is one of the most widely used classifier algorithms in various data mining problems. The performance of the Naïve Bayes Classifier is comparable to other classifiers as it yields impressive results in multiple applications.
Elayidom M., Sudheep; Department of Computer Science & Engineering, Cochin University of Science & Technology, Kochi, Kerala-682022, India., Femina, Bahari T.; Department of Computer Science & Engineering, Cochin University of Science & Technology, Kochi, Kerala-682022, India.   +1 more
core   +1 more source

A Hybrid Hierarchical Framework for Quantifying Mechanical Markers in Atherosclerotic Disease Progression: A New Approach for Diagnosis and Risk Assessment

Advanced Science, EarlyView.
The mechanobiological basis of atherosclerotic progression and its contribution to spatial and temporal heterogeneity remain incompletely understood. Spatially resolved AFM measurements revealed that plaque formation and distinct regions (cap fibrosis, intimal fibrosis, and lipid‐rich core) exhibit heterogeneous elastic modulus and viscoelastic ...
Yidan Zhou, Zhuo Chang, Xianjun Wu, Sijie Wang, Yuzhi Zhang, Hao Zhang, Haoyu Xu, Ruining Peng, Zhe Wang, Huiyun Xu, Yu Liu, Guangkui Xu, Nu Zhang, Hui Yang   +13 more
wiley   +1 more source

Improving Naive Bayes classifier using conditional probabilities [PDF]

, 2010
Naive Bayes classifier is the simplest among Bayesian Network classifiers. It has shown to be very efficient on a variety of data classification problems.
Mammadov, Musa, Taheri, Sona, Bagirov, Adil   +2 more
core  

Metabolic Signatures for Liver Cancer Diagnosis and Mechanistic Insights: A Large‐Scale, Multicenter Study

Advanced Science, EarlyView.
A large‐scale multicenter serum metabolomics study (13 centers, n = 2,149) identified a 9‐metabolite + AFP diagnostic signature for liver cancer (AUC = 0.93). Among the signature, nicotinamide (NAM) was validated as an oncometabolite: NAM enhances NAD+ synthesis, activating SIRT1 to deacetylate and stabilize HIF1α, thereby driving glycolysis, MAPK ...
Yongjie Xu, Jiachen Wang, Chunmeng Ding, Changfa Xia, Yunyong Liu, Yuanjie Zheng, Sheng Chang, Shaokai Zhang, Yutong He, Ruifang Sun, Yunfeng Xi, Yan Liu, Kun Qian, Wanqing Chen   +13 more
wiley   +1 more source

Pengukuran kinerja Spam Filter menggunakan metode Naive Bayes Classifier Graham [PDF]

, 2011
Email spam has become a major problem for internet users and providers. After several failed attempt to filter spam based on heuristic approach such as black-listing or rule-based filtering, content-based filtering using naive Bayes classifier has become
Rachman, Wildan
core   +1 more source

Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach. [PDF]

J Cheminform, 2022
Tarasova OA, Rudik AV, Biziukova NY, Filimonov DA, Poroikov VV.   +4 more
europepmc   +2 more sources

Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes

Machine Learning and Knowledge Extraction
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier, Jörg Hoffmann, Michael C. Thrun   +2 more
doaj   +1 more source