Search alternatives:
algorithm three » algorithm where (Expand Search), algorithm pre (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
algorithm api » algorithm ai (Expand Search), algorithm a (Expand Search), algorithm i (Expand Search)
api function » a function (Expand Search), i function (Expand Search), adl function (Expand Search)
algorithm three » algorithm where (Expand Search), algorithm pre (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
algorithm api » algorithm ai (Expand Search), algorithm a (Expand Search), algorithm i (Expand Search)
api function » a function (Expand Search), i function (Expand Search), adl function (Expand Search)
-
121
-
122
-
123
The Precision-Recall curve of both the models.
Published 2024“…</p><p>Results</p><p>Using an independent validation dataset of ACMG & AMP classified variants, as well as a patient set of functionally validated variants, we showed how both algorithms perform and can be used to classify large numbers of variants in clinical as well as research settings.…”
-
124
-
125
-
126
Image 3_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff
Published 2025“…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …”
-
127
Table3_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX
Published 2023“…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …”
-
128
Image_3_Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.tif
Published 2023“…This profile underwent differential expression analysis, WGCNA, functional enrichment, and subsequent analysis of RPL gene expression using LASSO regression, SVM-RFE, and RandomForest algorithms for hub gene screening. …”
-
129
-
130
S3 File -
Published 2025“…Increases in quality of life, sexual activity and/or sexual function, and decrease in specific symptoms (e.g. bowel-related or urinary) between 6 and 12 months were observed. …”
-
131
-
132
Table 3_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx
Published 2025“…</p>Methods<p>A dataset containing 304,782 Nellore cattle genotyped with 437,650 SNPs (after quality control) was used for this study. The Algorithm for Proven and Young (APY), implemented in the PREGSF90 software, was used to compute the GAPY−1 matrix using 36,000 core animals (which explained 98% of the variance in the genomic matrix). …”
-
133
-
134
-
135
Data_Sheet_3_Algorithmic Annotation of Functional Roles for Components of 3,044 Human Molecular Pathways.csv
Published 2021“…We proposed an algorithm that identifies functional roles of the pathway components and applied it to annotate 3,044 human molecular pathways extracted from the Biocarta, Reactome, KEGG, Qiagen Pathway Central, NCI, and HumanCYC databases and including 9,022 gene products. …”
-
136
-
137
-
138
-
139
-
140
10-fold cross-validation evaluation of accuracy of animal tracking algorithms.
Published 2025“…<p>We labeled 1,000 frames per cohort under both day and night conditions (total 6,000 human labeled frames across three cohorts), and studied the accuracy of the animal tracking algorithm (SLEAP) as a function of the number of frames (<i>x</i>-axis) trained. …”