Results 251 to 260 of about 796,511 (318)

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

Monitoring phosphorus content in winter wheat using feature fusion and feature selection from UAV remote sensing imagery. [PDF]

Front Plant Sci
Su Y, Wang J, Yang Y, Yang J, Zhang J, Yang H, Duan Y, Han S, Yu K, Huang S, Jia L.   +10 more
europepmc   +1 more source

Development of human monoclonal antibodies against TARM1 by yeast display

FEBS Open Bio, EarlyView.
Human monoclonal antibodies against TARM1 are generated by yeast display‐guided selection. These antibodies bind to soluble and cell‐surface forms of TARM1. Also, these antibodies exhibit agonistic activity in the NFAT‐GFP reporter assay, indicating that TARM1 signaling can be functionally modulated by antibodies and suggesting TARM1 as a potential ...
Rikio Yabe, Mayumi Saeki, Masaaki Hashiguchi, Sayaka Ono, Kazuhisa Aoki, Hidetaka Tanno   +5 more
wiley   +1 more source

Network security analysis based on feature selection and optimized fireworks algorithm. [PDF]

Sci Rep
Zhou L, Liu C, Tian L, Wang J, Liu C, Yu X.   +5 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

A sample model for applying feature selection and machine learning techniques to estimate and manage crayfish populations. [PDF]

Sci Rep
Gültepe Y, Gültepe N.
europepmc   +1 more source

Efficient detection of intrusions in TON-IoT dataset using hybrid feature selection approach. [PDF]

Sci Rep
Dharini N, Janani VS, Katiravan J.
europepmc   +1 more source

A copula based supervised filter for feature selection in machine learning driven diabetes risk prediction. [PDF]

Sci Rep
Aich A, Murshed MM, Hewage S, Mayeaux A.
europepmc   +1 more source

Knowledge-based optimization algorithm for feature selection in promoting circular economy through blockchain. [PDF]

Sci Rep
Sridevi S, Kumar BV, Karpagam GR.
europepmc   +1 more source

On feature selection to disentangle cell type and state transcriptional programs. [PDF]

BMC Genomics
Wang J, Crowell HL, Robinson MD.
europepmc   +1 more source