Results 201 to 210 of about 612,057 (317)

Democratising high performance computing for bioinformatics through serverless cloud computing: A case study on CRISPR-Cas9 guide RNA design with Crackling Cloud. [PDF]

PLoS Comput Biol
Bradford J, Joy D, Winsen M, Meurant N, Wilkins M, Wilson LOW, Bauer DC, Perrin D.   +7 more
europepmc   +1 more source

Accelerating Hyperparameter Tuning in Machine Learning for Alzheimer's Disease With High Performance Computing. [PDF]

Front Artif Intell, 2021
Zhang F, Petersen M, Johnson L, Hall J, O'Bryant SE.   +4 more
europepmc   +1 more source

Circulating tumor cell viability during and after radiotherapy mirrors treatment response in cancer patients

Molecular Oncology, EarlyView.
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy, Jana Löptien, Cornelia Coith, Afroditi Nanou, Katharina Hintelmann, Pinnschmidt Hans, Cordula Petersen, Klaus Pantel, Sabine Riethdorf, Kerstin Borgmann, Harriet Wikman   +10 more
wiley   +1 more source

Scale-up Unlearnable Examples Learning with High-Performance Computing. [PDF]

IS&T Int Symp Electron Imaging
Zhu Y, Lyngaas I, Gopalakrishnan Meena M, Koran MEI, Malin B, Moyer D, Bao S, Kapadia A, Wang X, Landman B, Huo Y.   +10 more
europepmc   +1 more source

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

Molecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel, Izabela Kubiak, Lena Rutkowska, Żaneta Kasprzyk, Łukasz Kępczyński, Michał Bednarek, Dariusz Sobieraj, Jacek Wilkosz, Piotr Kania, Adam Jędrzejczyk, Bogdan Kałużewski, Agnieszka Gach, Tadeusz Kałużewski   +12 more
wiley   +1 more source

Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models. [PDF]

Comput Methods Programs Biomed
Calle P, Bates A, Reynolds JC, Liu Y, Cui H, Ly S, Wang C, Zhang Q, de Armendi AJ, Shettar SS, Fu KM, Tang Q, Pan C.   +12 more
europepmc   +1 more source

Perspective of drug design with high-performance computing. [PDF]

Natl Sci Rev, 2021
Li Z, Li H, Yu K, Luo HB.
europepmc   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
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, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

New Frontiers in High Performance Computing and Big Data

, 2017
At the International Research Workshop on Advanced High Performance Computing Systems held in Cetraro in July 2016 a wide spectrum of topics on new developments related to the solution of compute intensive and large scale problems were discussed.

core  

ComPRePS 2.0: Enabling Massive-Scale Distributed Computing on High-Performance Computing Cluster for Histopathological Data Processing. [PDF]

Proc SPIE Int Soc Opt Eng
Kumar SKC, Paul AS, Abdelazim H, Dunklin W, Manthey D, Moskalenko O, Mimar S, Deumens E, Sarder P.   +8 more
europepmc   +1 more source