(2009) wind retrieval techniques into a purely Pythonic package for easier integration with Py-ART and Python. This allows for easy installation using pip and anaconda. This new package also uses a faster minimization technique, L-BFGS-B, which provides a factor of 2 to 5 speedup versus ...
scikit-posthocsis a Python package that provides post hoc tests for pairwise multiple comparisons that are usually performed in statistical data analysis to assess the differences between group levels if a statistically significant result of ANOVA test has been obtained. ...
Although written in Python 2, this post helped me put everything together so I could understand what the heck is going on. Some of the code I used here, but refactored for Python 3. Below is a crude diagram I did to help me figure out what was going on with this post, and the c...
Data mining was performed using Python (version 3.7) and figures were plotted using seaborn74 version 0.11.2 (https://seaborn.pydata.org/). Transcription factor binding motif analysis The prioritized ICP-associated variants (see details above) were investigated for their potential effect on TF ...
Finally, TFEA is fast, computationally inexpensive, and designed with the user in mind, as we provide an easy-to-use command-line interface, container images (Docker and Singularity), and an importable Python 3 package. TFEA provides easy downstream analysis aimed at deciphering the temporal and...
R was used to build a transcription-factor-gene-regulatory network, while all other analyses, including ML, were performed using Python. During 1 st step of AlgoOS, all transcriptomic features were ranked by NetRank score, and the top 20 were selected for further processing. This ranking was...
They are subsequently processed using Python scripts. 3. MCDA-MSS in action This section describes stage 3 of the methodology in Fig. 2, presenting the test of the MCDA-MSS on a set of case studies selected from the literature. This was performed to (i) evaluate the applicability of the ...
SUPPA (version 2.2 [47]) is open source under the MIT license (OSI-compliant), is implemented in python3.4, and is freely available at https://github.com/comprna/SUPPA.Author information Author notes Authors and Affiliations Pompeu Fabra University, E08003, Barcelona, Spain Juan L. Trincado,...
In order to formulate a Bayesian model, we put a Bernoulli distribution on each R ij with parameter σ(uiTvj) where σ is the logistic sigmoid function and u i , v j are the ith and jth columns of the respective factor matrices U∈RL×I and V∈RL×J. One can think of u i and...
To further improve research rigor, the study utilizes SPSS, Python and RStudio to conduct multiple linear regression and polynomial best subset regression (PBSR) analysis for the hierarchical modeling. The regression model utilizes the magnitude of various relative factors in nine Chinese city clusters...