Results 261 to 270 of about 3,761,012 (326)

Deep learning techniques for extreme rainfall prediction: a review of state-of-the-art. [PDF]

Front Artif Intell
Mukhalela BU, Viriri S, Ndzi D, Gebreslasie M, Zeeshan Shakir M, Ramzan N, Ayaz F, Lynch M, Spencer LH, Naidoo S, Nadesan-Reddy N, Mahomed O, Dickinson N, Henriquez F.   +13 more
europepmc   +1 more source

APOBEC3 activity and DNA polymerase‐ε deficiency are associated with distinct IDH1 R132 hotspot mutations

Molecular Oncology, EarlyView.
Isocitrate dehydrogenase 1 (IDH1) mutations are highly recurrent in multiple human cancer types, including cholangiocarcinoma and glioma. IDH1 R132C is the most common IDH1 mutation in cholangiocarcinoma and likely arises from APOBEC3A‐ or APOBEC3B‐mediated deamination.
Kelly E. Butler, Bilal A. Lone, Ecem Unal, A. Rouf Banday   +3 more
wiley   +1 more source

Kilometer-scale convection-allowing model emulation using generative diffusion modeling. [PDF]

Sci Adv
Pathak J, Cohen Y, Garg P, Harrington P, Brenowitz N, Durran D, Mardani M, Vahdat A, Xu S, Kashinath K, Pritchard M.   +10 more
europepmc   +1 more source

p190A/ARHGAP35 and p190B/ARHGAP5 proteins in endometrial cancer: a novel cancer‐relevant paralog interplay

Molecular Oncology, EarlyView.
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault, Capucine Heraud, Mélissa Correia de Oliveira, Véronique Neaud, Valérie Valesco, Valérie Prouzet‐Mauleon, Béatrice Turcq, Jean‐William Dupuy, Anne‐Aurélie Raymond, Sabrina Croce, Frédéric Saltel, Valérie Lagrée, Violaine Moreau   +12 more
wiley   +1 more source

Evaluation of respiratory disease hospitalisation forecasts using synthetic outbreak data. [PDF]

Commun Med (Lond)
Béchade G, Lundh T, Gerlee P.
europepmc   +1 more source

Comments on the improvement in forecast skill

, 2019
openaire   +1 more source

Assessing the utility of statistical downscaling for subseasonal temperature forecasts. [PDF]

Sci Rep
Duzenli E, Ramon J, Torralba V, Pickard S, Muñoz ÁG, Bojovic D.   +5 more
europepmc   +1 more source

Forecastability of infectious disease time series: are some seasons and pathogens intrinsically more difficult to forecast? [PDF]

PLoS Comput Biol
White LA, León TM.
europepmc   +1 more source

Evaluating the skill of AI and physics-based models for February 2020 North Atlantic storm hazards. [PDF]

NPJ Nat Hazards
Afargan-Gerstman H, Wu RW, Ferrini A, Domeisen DIV.   +3 more
europepmc   +1 more source