Significantly Enriched Pathways. by Jiyong Zhang (2498740)

Subjects:

Top 10 most significant DEGs. by Foluwasomi A. Oyefeso (15999113)

Converting scheduling problem into the optimal decision-making ML classification problem. by Simon Taub (12262035)

Subjects:

A total of 700 DEGs. by Wei He (131453)

“…Compared with normal tissues, AAD tissues exhibited a significant decrease in CD8 T cells and an increase in NK cells and macrophages.…”

Problem structuring for multicriteria decision analysis interventions by Luis Alberto Franco (1252347)

“…Multicriteria methods have been widely researched from an axiomatic perspective; however, much less attention has been devoted to the process of structuring multicriteria decision models. Furthermore, despite the significance of problem formulation in organizational decision making, it is surprising that much of the MCDA literature has paid relatively minor consideration to the processes of articulating and defining a multicriteria problem. …”

Face-to-face angle (yaw rotation [deg]). by Atsushi Nakazawa (15892700)

“…The results showed that eye contact significantly increased and the face-to-face distance and angle decreased in the AR group, while the Doll group had no significant difference. …”

Differentially expressed genes (DEGs) exhibiting both increased and decreased expression levels. by Liwen Wang (276995)

The approach applied to analyzing the problems. by Yin Liu (50073)

“…<div><p>Attribute weights exert a significant effect on the solution in multi-attribute decision analysis (MADA), since solutions produced by varying attribute weights probably vary. …”

Significant GO terms enriched based on the DEGs in control vs. noise groups. by Guangwei Ma (8503014)

Significant GO terms enriched based on the DEGs in control vs. noise groups. by Guangwei Ma (8503014)

Significant KEGG pathways enriched based on the DEGs in control vs. noise groups. by Guangwei Ma (8503014)

Visualisation of significantly differentially expressed genes (DEGs). by Mohammed A. Alfattah (18271622)

All-variable XGBoost model on the ‘significant illness’ binary using the primary decision-maker dataset. by Richard Barrett-Jolley (739341)

All DEGs in wild-type and <i>atb’’αβγδ</i> plants. by Hyuk Sung Yoon (20208672)

“…Transcriptome analysis showed a significant decrease in the expression of <i>CYP707A3</i>, a gene potentially targeted by VIP1 that regulates abscisic acid (ABA) catabolism, in the <i>atb’’αβγδ</i> mutant compared to wild type leaves. …”

Top 10 significant functional annotations of up-regulated DEGs. by Meitner Cadena (22216261)

“…Functional annotations are ordered by decreasing significance, with color indicating significance according to the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…”

Top 10 significant functional annotations of down-regulated DEGs. by Meitner Cadena (22216261)

“…Functional annotations are ordered by decreasing significance, with color indicating significance level based on the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…”

Decision tree explanation. by Refat Khan Pathan (16871953)

“…Many researchers, scientists, doctors, and people from other fields continuously contribute to this subject regarding early prediction and diagnosis. One of the significant problems in prediction is the black-box nature of machine learning models. …”

(A) Classification of up-regulated DEGs based on GO; (B)Classification of down-regulated DEGs based on GO; (C) KEGG enrichment bubble map of up-regulated DEGs; (D) KEGG enrichment... by Bingshuo Shi (21485387)

Transcripts of differentially expressed genes (DEGs) upregulated DEGs and downregulated DEGs with unknown functions, with p-value<0.05. by Bindu Ambaru (8775299)

FF decision matrix . by Dilshad Alghazzawi (18536230)

“…In addition, we highlight the significance of these approaches by presenting the solution to the decision making problem and determining the most effective big data analytics platform for YouTube data analysis. …”