Results 231 to 240 of about 1,906,656 (324)

Estimation and Prediction of Diabetes Mellitus using Association Summarization Technique

, 2019
J. Omana
openalex   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Ensemble learning methods and heterogeneous graph network fusion: building drug-gene-disease triple association prediction models. [PDF]

Brief Bioinform
N G K.
europepmc   +1 more source

Improved Prediction of Bacterial Genotype-Phenotype Associations Using Interpretable Pangenome-Spanning Regressions

, 2020
John A. Lees, The Tien Mai, Marco Galardini, Nicole E. Wheeler, Samuel Horsfield, Julian Parkhill, Jukka Corander   +6 more
openalex   +1 more source

Phenotype prediction from genome-wide association studies: application to smoking behaviors [PDF]

, 2012
Dankyu Yoon, Young Jin Kim, Taesung Park
openalex   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Interpretable multi-instance heterogeneous graph network learning modelling CircRNA-drug sensitivity association prediction. [PDF]

BMC Biol
Niu M, Wang C, Chen Y, Zou Q, Luo X.
europepmc   +1 more source

TREX1, a predator for treating MSI‐H tumors?

Molecular Oncology, EarlyView.
Immunotherapy benefits many patients; yet, some with MSI‐H tumors remain unresponsive despite their high immunogenicity. Xu et al. reveal that TREX1 enables immune evasion by degrading cytosolic DNA and suppressing cGAS–STING–IFN‐I signaling. TREX1 loss restores DNA sensing, increases CD8+ T and NK cell infiltration, and boosts antitumor immunity ...
Elena Benidovskaya, Joséphine Deneft, Marc Van den Eynde   +2 more
wiley   +1 more source

Herb-disease association prediction model based on network consistency projection. [PDF]

Sci Rep
Chen L, Zhang S, Zhou B.
europepmc   +1 more source

Genome-wide association and genomic prediction of resistance to viral nervous necrosis in European sea bass (Dicentrarchus labrax) using RAD sequencing [PDF]

, 2018
Christos Palaiokostas, Sophie Cariou, Anastasia Bestin, Jean-Sébastien Bruant, Pierrick Haffray, Thierry Morin, Joëlle Cabon, François Allal, Marc Vandeputte, Ross D. Houston   +9 more
openalex   +1 more source