An androgen antagonist decreases the levels of Rubicon and GATA4 in Sertoli cells. by Tadashi Yamamuro (6955694)

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

Subjects:

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

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. …”

Significantly Enriched Pathways. by Jiyong Zhang (2498740)

Subjects:

Ribosomal protein subunit large (Rpl) and small (Rps) transcripts are expressed at decreased levels at the site of <i>L</i>. <i>major</i> infection. by Gopinath Venugopal (638444)

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)

Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (sign... by Mobina Faqani (22783963)

Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “... by Mobina Faqani (22783963)

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

The number of gauging cross-sections where a statistically significant decreasing trend was identified. by Krzysztof Kochanek (835532)

Mean decrease Gini score by Tweet and user characteristics. by Gray Babbs (16648894)

Decrease of the mean number of natural teeth and POPs with age. by Sul-Hee Kim (11873853)

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.…”