Results 101 to 110 of about 8,233,255 (298)

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

Classification of entities via their descriptive sentences

CoRR, 2017
Hypernym identification of open-domain entities is crucial for taxonomy construction as well as many higher-level applications. Current methods suffer from either low precision or low recall. To decrease the difficulty of this problem, we adopt a classification-based method.
Chao Zhao 0002, Min Zhao, Yi Guan
openaire   +3 more sources

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Classification via Incoherent Subspaces [PDF]

In this article we present a signal model for classification based on a collection of low dimensional subspaces embedded into the high dimensional signal space.
Schnass, Karin, Vandergheynst, Pierre
core  

Regression via Classification for Fingerprint Orientation Estimation

IEEE Access
Estimating the direction in which the ridges and valleys of the fingerprint pattern are aligned often serves as a pivotal first step in fingerprint recognition systems. The ridge orientation map is a fundamental reference for subsequent processing stages,
Nesli Erdogmus
doaj   +1 more source

Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. [PDF]

Adv Neural Inf Process Syst, 2022
Ni Y.
europepmc   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

Unsupervised and supervised data classification via nonsmooth and global optimization

, 2003
Unsupervised and supervised data classification via nonsmooth and global ...
NV Soukhoroukova (15782051), AM Bagirov (15782006), AM Rubinov (15782048), John Yearwood (13077672)   +3 more
core  

Image classification via multi canonical correlation analysis

, 2014
This work investigates the role of canonical correlations analysis in image classification problems. Canonical correlation analysis is proposed as an alternative feature selection and reduction method for generic image classification problems.
Mehmet Cem Catalbas, Ozkazanc, Yakup, Catalbas, Mehmet Cem, Yakup Ozkazanc   +3 more
core   +1 more source

Optimal Bayesian design for model discrimination via classification. [PDF]

Stat Comput, 2022
Hainy M, Price DJ, Restif O, Drovandi C.
europepmc   +1 more source