2,704 research outputs found
Coauthor prediction for junior researchers
No full textResearch collaboration can bring in different perspectives and generate more productive results. However, finding an appropriate collaborator can be difficult due to the lacking of sufficient information. Link prediction is a related technique for collaborator discovery; but its focus has been mostly on the core authors who have relatively more publications. We argue that junior researchers actually need more help in finding collaborators. Thus, in this paper, we focus on coauthor prediction for junior researchers. Most of the previous works on coauthor prediction considered global network feature and local network feature separately, or tried to combine local network feature and content feature. But we found a significant improvement by simply combing local network feature and global network feature. We further developed a regularization based approach to incorporate multiple features simultaneously. Experimental results demonstrated that this approach outperformed the simple linear combination of multiple features. We further showed that content features, which were proved to be useful in link prediction, can be easily integrated into our regularization approach. © 2013 Springer-Verlag
Our collaborators, Instructions for the author, Revue objectives, Life Proyect
No full textNuestros Colaboradores, Instrucciones para el Autor, Objetivos de la Revista y Proyecto de Vida de la Revista Páginas No.89Our collaborators, Instructions for the author, Revue objectives, Life Proyect of the Revue Páginas No.8
Types of Scientific Collaborators: A Perspective of Author Contribution Network
No full textThe purpose of this study is to investigate interaction between collaborators within individual studies by measuring how they made contributions to their studies. Author contribution network is constructed based on the author contribution statements of 140,000 full-text articles in PloS by viewing every collaborator as a node and a shared contribution as an edge. Three types of contributors are identified: general team-players, factotums, and mavericks. The preliminary result suggests that division of labor widely exists in scientific re-search and the latter two types of collaborators are common in small teams.Made available in DSpace on 2018-07-12T15:28:19Z (GMT). No. of bitstreams: 2
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Previous issue date: 201
Associations of height, body mass index, and weight gain with breast cancer risk in carriers of a pathogenic variant in BRCA1 or BRCA2: the BRCA1 and BRCA2 Cohort Consortium
No full textINTRODUCTION: Height, body mass index (BMI), and weight gain are associated with breast cancer risk in the general population. It is unclear whether these associations also exist for carriers of pathogenic variants in the BRCA1 or BRCA2 genes. PATIENTS AND METHODS: An international pooled cohort of 8091 BRCA1/2 variant carriers was used for retrospective and prospective analyses separately for premenopausal and postmenopausal women. Cox regression was used to estimate breast cancer risk associations with height, BMI, and weight change. RESULTS: In the retrospective analysis, taller height was associated with risk of premenopausal breast cancer for BRCA2 variant carriers (HR 1.20 per 10 cm increase, 95% CI 1.04-1.38). Higher young-adult BMI was associated with lower premenopausal breast cancer risk for both BRCA1 (HR 0.75 per 5 kg/m 2, 95% CI 0.66-0.84) and BRCA2 (HR 0.76, 95% CI 0.65-0.89) variant carriers in the retrospective analysis, with consistent, though not statistically significant, findings from the prospective analysis. In the prospective analysis, higher BMI and adult weight gain were associated with higher postmenopausal breast cancer risk for BRCA1 carriers (HR 1.20 per 5 kg/m 2, 95% CI 1.02-1.42; and HR 1.10 per 5 kg weight gain, 95% CI 1.01-1.19, respectively). CONCLUSION: Anthropometric measures are associated with breast cancer risk for BRCA1 and BRCA2 variant carriers, with relative risk estimates that are generally consistent with those for women from the general population
Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer
No full textGenome-wide association studies (GWAS) have identified more than 170 breast cancer susceptibility loci. Here we hypothesize that some risk-associated variants might act in non-breast tissues, specifically adipose tissue and immune cells from blood and spleen. Using expression quantitative trait loci (eQTL) reported in these tissues, we identify 26 previously unreported, likely target genes of overall breast cancer risk variants, and 17 for estrogen receptor (ER)-negative breast cancer, several with a known immune function. We determine the directional effect of gene expression on disease risk measured based on single and multiple eQTL. In addition, using a gene-based test of association that considers eQTL from multiple tissues, we identify seven (and four) regions with variants associated with overall (and ER-negative) breast cancer risk, which were not reported in previous GWAS. Further investigation of the function of the implicated genes in breast and immune cells may provide insights into the etiology of breast cancer
Our collaborators, Instructions for the author, Revue objectives, Institucional repositories and 40 years of the UCP
No full textNuestros Colaboradores, Instrucciones para el Autor, Objetivos de la Revista, Repositorios Institucionales y Los 40 años de la UCP de la Revista Páginas No. 98Our collaborators, Instructions for the author, Revue objectives, Institucional repositories and 40 years of the UCP of the Revue Páginas No.9
The Hymn of the UCPR, Our collaborators, Revue objectives and Instructions for the author
No full textEl Himno de la Universidad Católica Popular del Risaralda, Nuestros Colaboradores, Objetivos de la Revista y Instrucciones para el Autor de la Revista Páginas No.78The Hymn of the Universidad Católica Popular del Risaralda, Our collaborators, Revue Objectives and Instructions for the author of the Revue Páginas No.7
Our collaborators, Instructions for the author, Revue objectives, Institucional repositories and 40 years of the UCP
No full textNuestros Colaboradores, Instrucciones para el Autor, Objetivos de la Revista, Repositorios Institucionales y Los 40 años de la UCP de la Revista Páginas No. 98Our collaborators, Instructions for the author, Revue objectives, Institucional repositories and 40 years of the UCP of the Revue Páginas No.9
Height and body mass index as Modifiers of breast cancer risk in BRCA1/2 mutation carriers: A Mendelian randomization study
No full textBackground: BRCA1/2 mutations confer high lifetime risk of breast cancer, although other factors may modify this risk. Whether height or body mass index (BMI) modifies breast cancer risk in BRCA1/2 mutation carriers remains unclear. Methods: We used Mendelian randomization approaches to evaluate the association of height and BMI on breast cancer risk, using data from the Consortium of Investigators of Modifiers of BRCA1/2 with 14 676 BRCA1 and 7912 BRCA2 mutation carriers, including 11 451 cases of breast cancer. We created a height genetic score using 586 height-associated variants and a BMI genetic score using 93 BMI-associated variants.We examined both observed and genetically determined height and BMI with breast cancer risk using weighted Cox models. All statistical tests were two-sided. Results: Observed height was positively associated with breast cancer risk (HR = 1.09 per 10cm increase, 95% confidence interval [CI] = 1.0 to 1.17; P=1.17). Height genetic score was positively associated with breast cancer, although this was not statistically significant (per 10cm increase in genetically predicted height, HR = 1.04, 95% CI = 0.93 to 1.17; P=.47). Observed BMI was inversely associated with breast cancer risk (per 5 kg/m2 increase, HR = 0.94, 95% CI = 0.90 to 0.98; P=.007). BMI genetic score was also inversely associated with breast cancer risk (per 5 kg/m2 increase in genetically predicted BMI, HR = 0.87, 95% CI = 0.76 to 0.98; P=.02). BMI was primarily associated with premenopausal breast cancer. Conclusion: Height is associated with overall breast cancer and BMI is associated with premenopausal breast cancer in BRCA1/2 mutation carriers. Incorporating height and BMI, particularly genetic score, into risk assessment may improve cancer management
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