Results 41 to 50 of about 870,142 (270)

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

open access: yesMolecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris   +10 more
wiley   +1 more source

Web-Based Structural Analysis Tool for Simply Supported Beam Using Python

open access: yesRekayasa Sipil
Structural analysis is essential in civil engineering to ensure the' safety, stability, and performance of load-bearing elements such as beams. Conventional approaches—such as manual calculations or commercial software—often involve high costs, limited ...
Kartika Purwitasari   +5 more
doaj   +1 more source

Modernizing PHCpack through phcpy [PDF]

open access: yes, 2014
PHCpack is a large software package for solving systems of polynomial equations. The executable phc is menu driven and file oriented. This paper describes the development of phcpy, a Python interface to PHCpack. Instead of navigating through menus, users
Verschelde, Jan
core  

High performance Python for direct numerical simulations of turbulent flows

open access: yes, 2016
Direct Numerical Simulations (DNS) of the Navier Stokes equations is an invaluable research tool in fluid dynamics. Still, there are few publicly available research codes and, due to the heavy number crunching implied, available codes are usually written
Langtangen, Hans Petter   +1 more
core   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Pydpiper: A Flexible Toolkit for Constructing Novel Registration Pipelines

open access: yesFrontiers in Neuroinformatics, 2014
Using neuroimaging technologies to elucidate the relationship between genotype and phenotype and brain and behavior will be a key contribution to biomedical research in the twenty-first century.
Miriam eFriedel   +7 more
doaj   +1 more source

TurbuStat: Turbulence Statistics in Python

open access: yes, 2019
We present TurbuStat (v1.0): a Python package for computing turbulence statistics in spectral-line data cubes. TurbuStat includes implementations of fourteen methods for recovering turbulent properties from observational data.
Boyden, Ryan D.   +6 more
core   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

PYTHON PROGRAMMING LANGUAGE AS A MEANS OF TRAINING FUTURE TEACHERS OF COMPUTER SCIENCE WHEN WORKING WITH ARDUINO

open access: yesАвтоматизация технологических и бизнес-процессов
. This article explores the possibilities and advantages of using the Python programming language together with Arduino robotics kits in the process of training future computer science teachers in pedagogical educational institutions.
V. Kyslitsyn, L. Shevchenko, V. Umanets
doaj   +1 more source

ANNarchy: a code generation approach to neural simulations on parallel hardware

open access: yesFrontiers in Neuroinformatics, 2015
Many modern neural simulators focus on the simulation of networks of spiking neurons on parallel hardware. Another important framework in computational neuroscience, rate-coded neural networks, is mostly difficult or impossible to implement using these ...
Julien eVitay   +3 more
doaj   +1 more source

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