Results 281 to 290 of about 406,461 (313)
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou+5 more
wiley +1 more source
Machine learning of time series data using persistent homology. [PDF]
Ichinomiya T.
europepmc +1 more source
Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban+12 more
wiley +1 more source
Hyperspectral remote sensing image destriping via spectral-spatial factorization. [PDF]
Zhan Y, Yu Q, Liu J, Wang Z, Yang Z.
europepmc +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik+4 more
wiley +1 more source
Joint embedding-classifier learning for interpretable collaborative filtering. [PDF]
Réda C, Vie JJ, Wolkenhauer O.
europepmc +1 more source
Conic curve encryption and digital signature based on complex number theory for cybersecurity applications. [PDF]
Kamal A+3 more
europepmc +1 more source
Low power IoT device communication through hybrid AES-RSA encryption in MRA mode. [PDF]
Chang Q, Ma T, Yang W.
europepmc +1 more source
Adaptive clustering for medical image analysis using the improved separation index. [PDF]
Jahanian M+3 more
europepmc +1 more source