Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
from functional » brain functional (Expand Search)
python function » protein function (Expand Search)
algorithm from » algorithm flow (Expand Search)
algorithm etc » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
etc function » spc function (Expand Search), fc function (Expand Search), npc function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
from functional » brain functional (Expand Search)
python function » protein function (Expand Search)
algorithm from » algorithm flow (Expand Search)
algorithm etc » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
etc function » spc function (Expand Search), fc function (Expand Search), npc function (Expand Search)
-
941
Data Sheet 4_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
Published 2025“…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
-
942
Data Sheet 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
Published 2025“…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
-
943
Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx
Published 2025“…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
-
944
Data Sheet 2_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
Published 2025“…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
-
945
Image 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
Published 2025“…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
-
946
Data Sheet 3_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
Published 2025“…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
-
947
The KEGG pathways of all enzymes with high gains.
Published 2024“…To explore the role of microbial function in soil health, 536 soil samples were collected from 26 U.S. states, representing 52 different crops and grazing lands, and analyzed for various soil health indicators. …”
-
948
Construction of SEMWISE indicator ratings.
Published 2024“…To explore the role of microbial function in soil health, 536 soil samples were collected from 26 U.S. states, representing 52 different crops and grazing lands, and analyzed for various soil health indicators. …”
-
949
Table 1_Diagnostic performance of artificial intelligence in detecting oral potentially malignant disorders and oral cancer using medical diagnostic imaging: a systematic review an...
Published 2024“…While visual examination is the primary method for detecting oral cancer, it may not be practical in remote areas. AI algorithms have shown some promise in detecting cancer from medical images, but their effectiveness in oral cancer detection remains Naïve. …”
-
950
Antivirus Engines (PowerPoint)
Published 2025“…<i> </i><a href="https://shop.elsevier.com/books/antivirus-engines/gagniuc/978-0-443-32952-4" rel="noreferrer" target="_blank"><i>Antivirus Engines: From Methods to Innovations and Applications</i></a><i>,</i><i> </i>Elsevier Syngress, 2024. pp. 1-656.…”
-
951
The research framework.
Published 2025“…The approach leverages gradient information from neural networks to guide SLSQP optimization while maintaining XGBoost’s prediction precision. …”
-
952
Optimization outcome for the elongation problem.
Published 2025“…The approach leverages gradient information from neural networks to guide SLSQP optimization while maintaining XGBoost’s prediction precision. …”
-
953
-
954
Computational Pipeline for Accelerating the Design of Glycomimetics
Published 2025“…The GA-generated structures were then subjected to molecular dynamics (MD) simulation, and the performance was evaluated for three post-MD approaches to computing interaction energies: the scoring function from AutoDock Vina-Carb, as well as the generalized Born and Poisson–Boltzmann surface area (GBSA/PBSA) implementations within the AMBER molecular mechanical (MM) force field. …”
-
955
Adaptive ionic liquid polymer microwave modulation surface with reprogrammable dielectric properties
Published 2025“…For example, the 2 mm-thick switchable microwave absorbing surfaces fabricated here can operate in two distinct modes during the temperature transition from low to high, namely “off-to-on” and “on-to-off”. …”
-
956
-
957
Descriptions of parameters and symbols (<i>t</i> = 1,2).
Published 2025“…A discrete algorithm is proposed to approximate the optimal solution, with its convergence rigorously proven. …”
-
958
Solution of approximate optimal order quantity.
Published 2025“…A discrete algorithm is proposed to approximate the optimal solution, with its convergence rigorously proven. …”
-
959
Data Sheet 1_Assessment of shoulder functional movements through inertial measurement units for tele-rehabilitation: a quaternion-based approach.pdf
Published 2025“…Data from an IMU-based device were acquired during the execution of human functional shoulder movements by both a young and elderly group of participants. …”
-
960
Data Sheet 1_Flow-based parameterization for DAG and feature discovery in scientific multimodal data.pdf
Published 2024“…<p>Representation learning algorithms are often used to extract essential features from high-dimensional datasets. …”