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
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...
Openly sharing data with sensitive attributes and privacy restrictions is a challenging task. In this document we present the implementation ofpyCANON, a Python library and command line interface (CLI) to check and assess the level of anonymity of a dataset through some of the most common anonymi...
Statistical analysis still offers the most surefire way to gain understanding from your data. By applying advanced statistical techniques, we can perform a detailed analysis of your data set and provide you with a structured report on the project outcome. Any relevant R or python scripts used to...
Artificial IntelligenceGenerative AIMicrosoft SQL Server video How to use Marimo | A better Jupyter-like notebook system for Python May 13, 20254 mins Python video How to prettify command line output in Python with Rich May 7, 20254 mins Python...
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\(...
In https://lectures.scientific-python.org/intro/language/basic_types.html#lists it is mentioned that all slicing parameters are optional. And a few examples are shown to demonstrate what values are implicitly set when you skip these. How...
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...
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...