Results 211 to 220 of about 26,597,943 (299)

Simplified methods for variance estimation in microbiome abundance count data analysis. [PDF]

Front Genet
Shi Y, Liu L, Chen J, Wylie KM, Wylie TN, Stout MJ, Wang C, Zhang H, Shih YT, Xu X, Zhang A, Park SH, Jiang H, Liu L.   +13 more
europepmc   +1 more source

Identification of functional murine mitochondrial formyl peptides and their effects on myeloid‐derived suppressor cell generation

FEBS Open Bio, EarlyView.
We first identified functional murine mitochondrial N‐formyl peptides (MT‐FPs) and investigated their effects on the in vitro myeloid‐derived suppressor cell (MDSC) generation from bone marrow cells. We demonstrated that MT‐FPs acted directly on bone marrow cells to promote MDSC generation and modulated the polymorphonuclear (PMN)‐MDSC/monocyte (M ...
Miyako Ozawa, Saori Kagoshima, Akira Yamada   +2 more
wiley   +1 more source

Multivariate Poisson cokriging: A geostatistical model for health count data. [PDF]

Stat Methods Med Res
Payares-Garcia D, Osei F, Mateu J, Stein A.   +3 more
europepmc   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

Differentially expressed heterogeneous overdispersion genes testing for count data. [PDF]

PLoS One
Yuan Y, Xu Q, Wani A, Dahrendorff J, Wang C, Shen A, Donglasan J, Burgan S, Graham Z, Uddin M, Wildman D, Qu A.   +11 more
europepmc   +1 more source

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source

Establishing large mammal population trends from heterogeneous count data. [PDF]

Ecol Evol
Pradel R, Renaud PC, Pays O, Scholte P, Ogutu JO, Hibert F, Casajus N, Mialhe F, Fritz H.   +8 more
europepmc   +1 more source

Establishing an assay to evaluate d‐amino acid oxidase enzyme kinetics and inhibition using WST‐8 redox dye

FEBS Open Bio, EarlyView.
This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake, Yuki Enoki, Yuka Nakazawa, Kazuaki Taguchi, Kazuaki Matsumoto   +4 more
wiley   +1 more source

CHIC: A machine learning framework for inferring the presence of high-risk clonal hematopoiesis using complete blood count data from 431,531 UK Biobank participants. [PDF]

Hemasphere
Dunn WG, Withnell I, Gu M, Quiros P, Cheloor Kovilakam S, Marando L, Wen S, Fabre MA, Mohorianu I, Vuckovic D, Vassiliou GS.   +10 more
europepmc   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source