بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
from functional » brain functional (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm from » algorithm flow (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
from functional » brain functional (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm from » algorithm flow (توسيع البحث)
-
61
-
62
-
63
-
64
-
65
PyPEFAn Integrated Framework for Data-Driven Protein Engineering
منشور في 2021"…Here, we present a general-purpose framework (PyPEF: pythonic protein engineering framework) for performing data-driven protein engineering using machine learning methods combined with techniques from signal processing and statistical physics. …"
-
66
-
67
-
68
COI reference sequences from BOLD DB
منشور في 2023"…<br>The file bold_clustered.sintax.fasta.gz is directly compatible with the SINTAX algorithm in vsearch while files bold_clustered.assignTaxonomy.fasta.gz and bold_clustered.addSpecies.fasta.gz are directly compatible with the assignTaxonomy and addSpecies functions from DADA2, respectively. …"
-
69
S1 Graphical abstract -
منشور في 2025"…The tissues’ contractile force, one of the main hallmarks of tissue function and maturation level of cardiomyocytes, can be read out from EHT platforms by optically tracking the movement of elastic pillars induced by the contractile tissues. …"
-
70
Code and data for evaluating oil spill amount from text-form incident information
منشور في 2025"…These are separately stored in the folders “description” and “posts”.</p><h2>Algorithms for Evaluating Release Amount (RA)</h2><p dir="ltr">The algorithms are split into the following three notebooks based on their functions:</p><ol><li><b>"1_RA_extraction.ipynb"</b>:</li><li><ul><li>Identifies oil spill-related incidents from raw incident data.…"
-
71
datasheet1_ThermoScan: Semi-automatic Identification of Protein Stability Data From PubMed.xlsx
منشور في 2021"…The collection of such data has been essential for the development and assessment of tools predicting the impact of protein variants at functional and structural levels. Nevertheless, the collection of manually curated data from literature is a highly time consuming and costly process that requires domain experts. …"
-
72
presentation1_ThermoScan: Semi-automatic Identification of Protein Stability Data From PubMed.pdf
منشور في 2021"…The collection of such data has been essential for the development and assessment of tools predicting the impact of protein variants at functional and structural levels. Nevertheless, the collection of manually curated data from literature is a highly time consuming and costly process that requires domain experts. …"
-
73
-
74
Data_Sheet_1_MCIC: Automated Identification of Cellulases From Metagenomic Data and Characterization Based on Temperature and pH Dependence.docx
منشور في 2020"…MCIC is freely available as a python package and standalone toolkit for Windows and Linux-based operating systems with several functions to facilitate the screening and thermal and pH dependence prediction of cellulases.…"
-
75
DataSheet1_Development of a Multilayer Deep Neural Network Model for Predicting Hourly River Water Temperature From Meteorological Data.docx
منشور في 2021"…We trained the LR and DNN algorithms on Google’s TensorFlow model using Keras artificial neural network library on Python. …"
-
76
Data_Sheet_1_Exploring changes in depression and radiology-related publications research focus: A bibliometrics and content analysis based on natural language processing.docx
منشور في 2022"…R and the interpretive general-purpose programming language Python were used to extract publication dates, geographic information, and abstracts from each publication’s metadata for bibliometric analysis. …"
-
77
NanoDB: Research Activity Data Management System
منشور في 2024"…Cross-Platform Compatibility: Works on Windows, macOS, and Linux. In a Python environment or as an executable. Ease of Implementation: Using the flexibility of the Python framework all the data setup and algorithm can me modified and new functions can be easily added. …"
-
78
Code and Data for 'Fabrication and testing of lensed fiber optic probes for distance sensing using common path low coherence interferometry'
منشور في 2025"…Modelling</p><p dir="ltr">Python code to demonstrate use of Eqn 1 from paper to model fiber probes using coreless and GRIN fiber. …"
-
79
Map Matching on Low Sampling Rate Trajectories Through Deep Inverse Reinforcement Learning and Multi Intention Modeling
منشور في 2024"…</li><li>`deep_irl`: Contains the implementation of deep inverse reinforcement learning which integrates DNN and MaxEnt IRL to learn the reward function.</li><li>`mi_irl`: Contains the implementation of multi-intention inverse reinforcement learning that accounts for capturing multiple possible driving behaviors from historical demonstrations.…"
-
80
MOMA compared to MFA-derived estimates, carbon yield efficiencies and CBA co-factor profile comparison across unconstrained, manually curated and experimentally constrained solutio...
منشور في 2020"…MOMA ranges were estimated using the wild type solution as a reference and sequentially implementing the single-gene knockouts studied by Long et al. (2019) [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008125#pcbi.1008125.ref046" target="_blank">46</a>], with biomass formation as the objective function. MFA ranges were extracted from a pre-existing dataset (Long et al., 2019), using a Python algorithm to select the minimal and maximal flux ranges.…"