Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm t4p » algorithm steps (Expand Search), algorithm setup (Expand Search), algorithm _ (Expand Search)
algorithm ai » algorithm a (Expand Search), algorithm i (Expand Search), algorithm _ (Expand Search)
t4p function » step function (Expand Search), _ function (Expand Search), a function (Expand Search)
ai function » api function (Expand Search), a function (Expand Search), i function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm t4p » algorithm steps (Expand Search), algorithm setup (Expand Search), algorithm _ (Expand Search)
algorithm ai » algorithm a (Expand Search), algorithm i (Expand Search), algorithm _ (Expand Search)
t4p function » step function (Expand Search), _ function (Expand Search), a function (Expand Search)
ai function » api function (Expand Search), a function (Expand Search), i function (Expand Search)
-
161
Barplot comparing the accuracy, MCC, NPV and PPV of 13 models with TabNet and XGBoost.
Published 2024Subjects: -
162
-
163
-
164
-
165
-
166
-
167
-
168
-
169
-
170
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Published 2025“…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”
-
171
Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics
Published 2021“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
-
172
Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics
Published 2021“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
-
173
AI is in Your Classroom Even if You Didn't Know It
Published 2023“…(True reasoning involving more than inference is still a challenge for AI.)</p><p><br></p><p dir="ltr">[slide 4]</p><p dir="ltr">Many times you will read definitions of machine learning that say something to the effect of “Field of study that gives computers the ability to learn without being explicitly programmed”—this is not entirely correct, because the computers are indeed explicitly programmed, implementing an algorithm that optimizes some function to fit the data, or finds parameters to a model, or otherwise solves a data-based problem.…”
-
174
-
175
-
176
-
177
Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling
Published 2019“…This program implements the “modeling by satisfaction of spatial restraints” strategy and its core algorithm has not been altered significantly since the early 1990s. …”
-
178
-
179
-
180