Results 61 to 70 of about 560,645 (271)

Determining Principal Component Cardinality through the Principle of Minimum Description Length

, 2019
PCA (Principal Component Analysis) and its variants areubiquitous techniques for matrix dimension reduction and reduced-dimensionlatent-factor extraction. One significant challenge in using PCA, is thechoice of the number of principal components.
A Blumer, AJ Donald, AP Dawid, AR Barron, C Eckart, DC Hoyle, IT Jolliffe, J Josse, J Rissanen, J Rissanen, J Rissanen, J Rissanen, JI Myung, M Mitzenmacher, M Zhu, MH Hansen, T Hastie, TM Cover, Y Choi   +18 more
core   +1 more source

Face Detection using Principal Component Analysis (PCA)

International Journal of Computer Applications, 2014
Face Detection makes it possible to use the facial images of a person to authenticate him into secure system, for criminal identification, for passport verification etc. It is done by Principal Component Analysis (PCA).Face images are projected onto a face space that encodes best variation among known face images.
Tarun Metta, Jatin Agarwal, Pushpak Dave
openaire   +1 more source

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

Molecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan, Veronika M Metzler, Simone de Brot, Corinne L Woodcock, Anna E Harris, Jennifer Lothion‐Roy, Emeli M Nilsson, Atara Ntekim, Michael S Toss, Jenny L Persson, Francesca Khani, Brian D Robinson, Lorraine J Gudas, Emad Rakha, David M Heery, Catrin S Rutland, Nigel P Mongan   +16 more
wiley   +1 more source

Principal component analysis for three-dimensional structured illumination microscopy (PCA-3DSIM)

Light: Science & Applications
Three-dimensional structured illumination microscopy (3DSIM) is an essential super-resolution imaging technique for visualizing volumetric subcellular structures at the nanoscale, capable of doubling both lateral and axial resolution beyond the ...
Jiaming Qian, Weiyi Xia, Yuxia Huang, Jing Feng, Qian Chen, Chao Zuo   +5 more
doaj   +1 more source

Principal Components Analysis for the Interpretation of Humidification Phenomena—Preliminary Results

Proceedings, 2019
Moisture is one of the major causes of building decay, compromising the indoor air quality and the durability of building components. Infrared thermography is a non-destructive technique that can be used to prevent damage caused by the presence of water.
Eva Barreira, Maria Lurdes Simões, Ricardo M. S. F. Almeida, Sofia Pinto   +3 more
doaj   +1 more source

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia

Jurnal Teknologi Informasi dan Ilmu Komputer, 2020
Pengamatan citra Pap Smear merupakan langkah yang sangat penting dalam mendiagnosis awal terhadap gangguan servik. Pengamatan tersebut membutuhkan sumber daya yang besar. Dalam hal ini machine learning dapat mengatasi masalah tersebut.
Krisan Aprian Widagdo, Kusworo Adi, Rahmat Gernowo   +2 more
doaj   +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

The Active Nucleus in NGC 4579

, 2009
In this work, we present an analysis of a data cube obtained with the instrument IFU/GMOS Gemini North telescope centered on the nuclear region of the LINER galaxy NGC 4579. This galaxy is known to have a type 1 AGN (see Eracleous et al.
Menezes, Roberto B., Oliveira, Alexandre S., Ricci, Tiago V., Steiner, João E.   +3 more
core   +1 more source