Search Results - python code provided

Logomaker: beautiful sequence logos in Python by Tareen, Ammar, Kinney, Justin B

“… such logos within the Python programming environment. Here we introduce Logomaker, a Python API for creating publication-quality sequence logos…”
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MEG and EEG data analysis with MNE-Python by Gramfort, Alexandre

“… As part of the MNE software suite, MNE-Python is an open-source software package that addresses this challenge by providing state-of-the-art algorithms implemented in Python that cover multiple…”
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Meta-analysis using Python: a hands-on tutorial by Masoumi, Safoora, Shahraz, Saeid

“… This paper uses Python’s capabilities to provide applicable instruction to perform a meta-analysis…”
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Constrained Optimization for Decision Making in Health Care Using Python: A Tutorial by Leung, K H Benjamin, Yousefi, Nasrin, Chan, Timothy C Y, Bayoumi, Ahmed M

“… Python.Two examples are presented to illustrate how constrained optimization is used in health applications, with accompanying Python code provided…”
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A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationships by Kroll, Alexander, Ranjan, Sahasra, Lercher, Martin J.

“…The activities of most enzymes and drugs depend on interactions between proteins and small molecules. Accurate prediction of these interactions could greatly…”
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Python codes to generate skeletal muscle models on each hierarchical level by Lamsfuss, Jens, Bargmann, Swantje

“…Python codes are provided for generating computer models of the skeletal muscle on all five hierarchical levels…”
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A python based tutorial on prognostics and health management using vibration signal: signal processing, feature extraction and feature selection by Sim, Jinwoo, Min, Jinhong, Kim, Doyeon, Cho, Seong Hee, Kim, Seokgoo, Choi, Joo-Ho

“… The Python codes are provided at the web page https://www.kau-sdol.com so that they produce the same results as the MATLAB codes…”
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Experimental Design for Data Science and Engineering by Joseph, V. Roshan

“…Theory, experiments, computation, and data are considered as the four pillars of science and engineering. Experimental Design for Data Science and Engineering…”
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A FHIR-Powered Python Implementation of the SENECA Algorithm for Sepsis Subtyping by King, Andrew J, Horvat, Christopher M, Schlessinger, David, Hochheiser, Harry, Bui, Kevin V, Kennedy, Jason N, Brant, Emily B, Shalaby, James, Angus, Derek C, Liu, Vincent X, Seymour, Christopher W

“… classification.Open-source Python code for the SENECA algorithm is provided…”
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msatcommander: detection of microsatellite repeat arrays and automated, locus-specific primer design by FAIRCLOTH, BRANT C.

“… Users of other operating systems may run the graphical interface version using the available source code, provided their environment supports at least Python 2.4, Biopython 1.43, and wxPython 2.8…”
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TRIQS/CTHYB: A continuous-time quantum Monte Carlo hybridisation expansion solver for quantum impurity problems by Seth, Priyanka, Krivenko, Igor, Ferrero, Michel, Parcollet, Olivier

“… It is implemented in C++ for efficiency and is provided with a high-level Python interface. The code ships with a new partitioning algorithm that divides the local Hilbert space…”
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Exploring the Association Between Textual Parameters and Psychological and Cognitive Factors by Uludag, Kadir

“…Textual data analysis has become a popular method for examining complex human behavior in various fields, including psychology, psychiatry, sociology, computer…”
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Iterative mollifier‐based despiking of the single‐scan Raman spectra by Korepanov, Vitaly

“…Removing cosmic spikes from experimental Raman spectra is highly important for the processing of big datasets. The despiking approaches are at present under…”
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Oasis: A high-level/high-performance open source Navier–Stokes solver by Mortensen, Mikael, Valen-Sendstad, Kristian

“…Oasis is a high-level/high-performance finite element Navier–Stokes solver written from scratch in Python using building blocks from the FEniCS project (fenicsproject.org…”
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Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python by van Vliet, Marijn, Liljeström, Mia, Aro, Susanna, Salmelin, Riitta, Kujala, Jan

“…Communication between brain regions is thought to be facilitated by the synchronization of oscillatory activity. Hence, large-scale functional networks within…”
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svist4get: a simple visualization tool for genomic tracks from sequencing experiments by Egorov, Artyom A., Sakharova, Ekaterina A., Anisimova, Aleksandra S., Dmitriev, Sergey E., Gladyshev, Vadim N., Kulakovskiy, Ivan V.

“…Background High-throughput sequencing often provides a foundation for experimental analyses in the life sciences. For many such methods, an intermediate layer…”
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MolClustPy: a Python package to characterize multivalent biomolecular clusters by Chattaraj, Aniruddha, Nalagandla, Indivar, Loew, Leslie M, Blinov, Michael L

“… In stochastic simulations, such clusters display a wide range of sizes and compositions. We have developed a Python package, MolClustPy, which performs multiple stochastic simulation runs using NFsim…”
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Synthetic image dataset of shaft junctions inside wind turbines in presence or absence of oil leaks by Cardoni, Matteo, Pau, Danilo, Falaschetti, Laura, Turchetti, Claudio, Lattuada, Marco

“…This paper presents a dataset of images generated via 3D graphics rendering. The dataset is composed by pictures of the junction between the high-speed shaft…”
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PyFocus – A Python package for vectorial calculations of focused optical fields under realistic conditions. Application to toroidal foci by Caprile, Fernando, Masullo, Luciano A., Stefani, Fernando D.

“… design of meaningful experiments and interpret properly their results. Here, we present PyFocus, an open-source Python software package to perform fully vectorial calculations…”
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Multiscale finite element calculations in Python using SfePy by Cimrman, Robert, Lukeš, Vladimír, Rohan, Eduard

“… Its source code is mostly (85%) Python and relies on fast vectorized operations provided by the NumPy package…”
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