gmxapi usage examples. حسب M. Eric Irrgang (4487278)

Image3_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF حسب Jian-Kun Song (11711756)

"…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …"

Image1_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF حسب Jian-Kun Song (11711756)

"…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …"

Image2_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF حسب Jian-Kun Song (11711756)

"…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …"

UPEFinder: A Bioinformatic Tool for the Study of Uncharacterized Proteins Based on Gene Expression Correlation and the PageRank Algorithm حسب José González-Gomariz (9610967)

"…This information is especially relevant for the researchers of the HPP who are interested in the generation and validation of new hypotheses about the functions of these proteins. Both the database and the web application are publicly available (https://github.com/ubioinformat/UPEfinder).…"

UPEFinder: A Bioinformatic Tool for the Study of Uncharacterized Proteins Based on Gene Expression Correlation and the PageRank Algorithm حسب José González-Gomariz (9610967)

"…This information is especially relevant for the researchers of the HPP who are interested in the generation and validation of new hypotheses about the functions of these proteins. Both the database and the web application are publicly available (https://github.com/ubioinformat/UPEfinder).…"

UPEFinder: A Bioinformatic Tool for the Study of Uncharacterized Proteins Based on Gene Expression Correlation and the PageRank Algorithm حسب José González-Gomariz (9610967)

"…This information is especially relevant for the researchers of the HPP who are interested in the generation and validation of new hypotheses about the functions of these proteins. Both the database and the web application are publicly available (https://github.com/ubioinformat/UPEfinder).…"

UPEFinder: A Bioinformatic Tool for the Study of Uncharacterized Proteins Based on Gene Expression Correlation and the PageRank Algorithm حسب José González-Gomariz (9610967)

"…This information is especially relevant for the researchers of the HPP who are interested in the generation and validation of new hypotheses about the functions of these proteins. Both the database and the web application are publicly available (https://github.com/ubioinformat/UPEfinder).…"

Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) حسب Santhosh Kumar Rajamani (13023678)

Algorithm framework. حسب Zongjin Li (38031)

الموضوعات:

Efficient algorithms to discover alterations with complementary functional association in cancer حسب Rebecca Sarto Basso (6728921)

"…Among such patterns, <i>mutual exclusivity</i> has been employed by several recent methods that have shown its effectiveness in characterizing gene sets associated to cancer. Mutual exclusivity arises because of the complementarity, at the functional level, of alterations in genes which are part of a group (e.g., a <i>pathway</i>) performing a given function. …"

Linear relationship between ln(methadone concentration) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function. حسب Andrew H. Talal (8727396)

Linear relationship between ln(methadone metabolism) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function. حسب Andrew H. Talal (8727396)

DataSheet2_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.CSV حسب Jian-Kun Song (11711756)

"…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …"

DataSheet3_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.CSV حسب Jian-Kun Song (11711756)

"…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …"

DataSheet1_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.pdf حسب Jian-Kun Song (11711756)

"…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …"

Verification of the in-line PS function. حسب Raul Castañeda (13932971)

Available functions in the utility package. حسب Raul Castañeda (13932971)

Table3_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX حسب Zhen Wang (72451)

"…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …"

Table2_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX حسب Zhen Wang (72451)

"…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …"