Results 171 to 180 of about 4,208,641 (395)

Non-linear complex principal component analysis of nearshore bathymetry [PDF]

open access: yesNonlinear Processes in Geophysics, 2005
Complex principal component analysis (CPCA) is a useful linear method for dimensionality reduction of data sets characterized by propagating patterns, where the CPCA modes are linear functions of the complex principal component (CPC), consisting of an ...
S. S. P. Rattan   +3 more
doaj  

SKA1 promotes oncogenic properties in oral dysplasia and oral squamous cell carcinoma, and augments resistance to radiotherapy

open access: yesMolecular Oncology, EarlyView.
The mitosis‐related gene SKA1 was among 629 genes consistently dysregulated in OSCC across nine public gene expression datasets. In OSCC cell lines, SKA1 promoted proliferation and migration, enhanced radioresistance, and reduced radiation‐induced senescence.
Alexander Michael Grandits   +7 more
wiley   +1 more source

A comparative study to examine principal component analysis and kernel principal component analysis-based weighting layer for convolutional neural networks

open access: yesComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
In the recent decay, the focus on processing signal data processing such as time series, images, and videos increased. The purpose of this processing is mainly forecasting, classification, and regression.
Amir Mehrabinezhad   +2 more
doaj   +1 more source

NanoCMSer: a consensus molecular subtype stratification tool for fresh‐frozen and paraffin‐embedded colorectal cancer samples

open access: yesMolecular Oncology, EarlyView.
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang   +10 more
wiley   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

open access: yesMolecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran   +16 more
wiley   +1 more source

MicroRNAs in seminal plasma are able to discern infertile men at increased risk of developing testicular cancer

open access: yesMolecular Oncology, EarlyView.
Male infertility is a known risk factor for the development of testicular cancer. In this paper, we analyzed the expression profile of a microRNA panel by real‐time PCR and validated the results by digital PCR. Experimental and bioinformatics analyses allowed us to identify possible biomarkers able to discern men with a higher risk of developing ...
Carmen Ferrara   +14 more
wiley   +1 more source

Impact of molecular diagnostics and targeted cancer therapy on patient outcomes (MODIFY): a retrospective study of the implementation of precision oncology

open access: yesMolecular Oncology, EarlyView.
The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang   +3 more
wiley   +1 more source

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