Results 61 to 70 of about 102,648 (335)
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
In this study of the gut mucosal microbiota in primary sclerosing cholangitis (PSC), we found consistent microbiota features associated with PSC and recurrent PSC, PSC with inflammatory bowel disease and a persistent gut dysbiosis after liver transplantation Abstract Background and Aims Several characteristic features of the fecal microbiota have been ...
Mikal Jacob Hole +12 more
wiley +1 more source
Implementasi Algoritma Naive Bayes Classifier sebagai Sistem Rekomendasi Pembimbing Skripsi [PDF]
Dosen pembimbing memiliki peran mendampingi mahasiswa dalam proses penyusunan skripsi. Penentuan awal calon pembimbing diberbagai kampus seringkali bersifat subjektif dan kebijakan langsung oleh ketua program studi ataupun dipilih langsung oleh mahasiswa.
Asfi, Marsani, Fitrianingsih, Nopi
core +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Pendekatan Metode Ensemble Learning untuk Prakiraan Cuaca menggunakan Soft Voting Classifier
Weather conditions are one of the crucial factors that need attention. Changes in weather conditions significantly impact various activities. Weather condition changes are determined by numerous factors, often occurring within a relatively short period ...
Steven Joses +2 more
doaj +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Energy optimization for wireless sensor network using minimum redundancy maximum relevance feature selection and classification techniques [PDF]
In wireless sensor networks (WSN), conserving energy is usually a basic issue, and several approaches are applied to optimize energy consumption. In this article, we adopt feature selection approaches by using minimum redundancy maximum relevance (MRMR ...
Muteeah Aljawarneh +4 more
doaj +2 more sources
Analisis Sentimen Pindah Ibu Kota Berbasis Naive Bayes Classifier
Perkembangan media sosial memudahkan pengguna dalam percepatan akses informasi di internet. Akses informasi yang awalnya sulit diperoleh begitu mudah sekarang ini.
Primandani Arsi +2 more
doaj +1 more source
On Why Discretization Works for Naive-Bayes Classifiers [PDF]
We investigate why discretization can be effective in naive-Bayes learning. We prove a theorem that identifies particular conditions under which discretization will result in naive-Bayes classifiers delivering the same probability estimates as would be obtained if the correct probability density functions were employed.
Ying Yang 0001, Geoffrey I. Webb
openaire +1 more source

