Image_3_Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.tif حسب Jiayu Huang (3408389)

"…Then, the weighted gene co-expression network analysis was conducted to obtain functional modules and construct a multifactorial co-expression network. …"

Image_2_Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.tif حسب Jiayu Huang (3408389)

"…Then, the weighted gene co-expression network analysis was conducted to obtain functional modules and construct a multifactorial co-expression network. …"

Table_8_Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.xlsx حسب Jiayu Huang (3408389)

"…Then, the weighted gene co-expression network analysis was conducted to obtain functional modules and construct a multifactorial co-expression network. …"

Table_4_Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.xlsx حسب Jiayu Huang (3408389)

"…Then, the weighted gene co-expression network analysis was conducted to obtain functional modules and construct a multifactorial co-expression network. …"

Table_7_Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.xlsx حسب Jiayu Huang (3408389)

"…Then, the weighted gene co-expression network analysis was conducted to obtain functional modules and construct a multifactorial co-expression network. …"

Image_4_Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.tif حسب Jiayu Huang (3408389)

"…Then, the weighted gene co-expression network analysis was conducted to obtain functional modules and construct a multifactorial co-expression network. …"

Table_6_Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.xlsx حسب Jiayu Huang (3408389)

"…Then, the weighted gene co-expression network analysis was conducted to obtain functional modules and construct a multifactorial co-expression network. …"

Table_3_Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.xlsx حسب Jiayu Huang (3408389)

"…Then, the weighted gene co-expression network analysis was conducted to obtain functional modules and construct a multifactorial co-expression network. …"

Image_5_Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.tif حسب Jiayu Huang (3408389)

"…Then, the weighted gene co-expression network analysis was conducted to obtain functional modules and construct a multifactorial co-expression network. …"

Table_1_Polycystic ovary syndrome: Identification of novel and hub biomarkers in the autophagy-associated mRNA-miRNA-lncRNA network.xlsx حسب Jiayu Huang (3408389)

"…Then, the weighted gene co-expression network analysis was conducted to obtain functional modules and construct a multifactorial co-expression network. …"

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. حسب Gursimran Singh (575288)

الموضوعات:

SARS-CoV-2 secondary structure predictions via KnotAli. حسب Luke Trinity (6792770)

الموضوعات:

Dominant SARS-CoV-2 pseudoknot motif predictions via Shapify. حسب Luke Trinity (6792770)

الموضوعات:

Alignment of amino-acids sequence of nucleotide-binding domains of Ssa1 with DnaK from <i>E</i>. <i>coli</i> using the Needleman-Wunsch algorithm for global alignment. حسب Deepika Gaur (814560)

SARS-CoV-2 secondary structure motifs free energy per nt. حسب Luke Trinity (6792770)

الموضوعات:

The workflow used to analyze imbalanced and balanced sequences. حسب Solomon Shiferaw Beyene (9143178)

Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). حسب Solomon Shiferaw Beyene (9143178)

Accuracy, sensitivity, specificity and F-score. حسب Solomon Shiferaw Beyene (9143178)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. حسب Solomon Shiferaw Beyene (9143178)