Papers

4 results
DEEP LEARNING ALGORITHMS HAVE HIGH ACCURACY FOR AUTOMATED LANDMARK DETECTION ON 2D LATERAL CEPHALOGRAMS.
Cao L, He H, Hua F - The journal of evidence-based dental practice, December 10, 2022 4 citations
P
cephalometric landmark detection
I/C
deep learning, conventional methods
O
accuracy
Network aggregation improves gene function prediction of grapevine gene co-expression networks.
Wong DCJ - Plant molecular biology, April 09, 2020 23 citations
P
grapevine gene co-expression networks
I/C
aggregation across multiple networks, individual networks
O
improved functional connectivity
Placebo response of sham acupuncture in patients with primary dysmenorrhea: A meta-analysis.
Sun CY, Xiong ZY, Sun CY, Ma PH, Liu XY, Sun CY, Xin ZY, Liu BY, Liu CZ, Yan SY - Journal of integrative medicine, August 25, 2023 1 citations
P
female patients with primary dysmenorrhea
I/C
sham acupuncture, no intervention or other treatments
O
pain intensity, retrospective symptom scale, health-related quality of life
Genetic overlap analysis of endometriosis and asthma identifies shared loci implicating sex hormones and thyroid signalling pathways.
Adewuyi EO, Mehta D, null null, null null, Nyholt DR - Human reproduction (Oxford, England), April 27, 2022 23 citations
P
endometriosis, asthma
I/C
genome-wide association study (GWAS), SNP effect concordance analysis (SECA), linkage disequilibrium score regression analysis (LDSC), GWAS meta-analysis, colocalization (GWAS-PW), gene-based and pathway-based functional enrichment analysis methods, shared genetic susceptibility, biological pathways
O
co-occurring relationship, novel insights into mechanisms underpinning endometriosis and asthma
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