In this study, we investigate how an organism’s codon usage bias can serve as a predictor and classifier of various genomic and evolutionary traits across the domains of life. We perform secondary analysis of existing genetic datasets to build several A
Cocos is a package for numeric and scientific computing on GPUs for Python with a NumPy-like API. It supports both CUDA and OpenCL on Windows, Mac OS, and Linux. Internally, it relies on the ArrayFire C/C++ library. Cocos offers a multi-GPU map-reduce framework. In addition to its ...
To resolve the effect of bleaching, the bleaching interval is a multiple of the time step: Δt b = mΔt, \(m\in {\mathbb{N}}\). To use FEniCS a high-level Python script is written, where the weak formulation is expressed in the UFL form language. UFL is a domain specific...
Because CNNs were originally created for image recognition, they are better suited to handling image-like data and may not be directly applicable to scientific computing problems, as most geometries are irregular with non-uniform grids; for example, Euclidean-distance-based convolution filters lose th...
Python is a general-purpose computation language, but it is very welcomed in scientific computing. It can replace R and Matlab in many cases, thanks to some libraries in the Python ecosystem. In machine learning, we use some mathematical or statistical functions extensively, and often, we will...
Extraneous features degrade the performance of a model while also increase computing costs. It is critical to find a subgroup of high-prevalence features. Some of the features have a considerable impact on the response model than others. We ranked the importance of features or predictors using\(...
Python does not allow ! in function names, so this is also a limitation of pyjulia To use functions which on the Julia side have a !, like step!, replace ! by _b, for example:from diffeqpy import de def f(u,p,t): return -u u0 = 0.5 tspan = (0., 1.) prob = de.ODE...
Openly sharing data with sensitive attributes and privacy restrictions is a challenging task. In this document we present the implementation of pyCANON, a Python library and command line interface (CLI) to check and assess the level of anonymity of a dat
Tomatoes are a major crop worldwide, and accurately classifying their maturity is important for many agricultural applications, such as harvesting, grading, and quality control. In this paper, the authors propose a novel method for tomato maturity classi
terms of calls to tools,algorithms and methods, for a given execution. A workflow instrumentation thus provides alayer between the workflow and the language libraries. This first automated step is the only onethat depends on the programming language (here Python).WorkflowDataABBAXCCtraceTrace...