Titlebook: Bioinformatics and Biomedical Engineering; 11th International C Ignacio Rojas,Francisco Ortu?o,Olga Valenzuela Conference proceedings 2024

忠誠

書目名稱Bioinformatics and Biomedical Engineering影響因子(影響力)




書目名稱Bioinformatics and Biomedical Engineering影響因子(影響力)學(xué)科排名




書目名稱Bioinformatics and Biomedical Engineering網(wǎng)絡(luò)公開度




書目名稱Bioinformatics and Biomedical Engineering網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bioinformatics and Biomedical Engineering被引頻次




書目名稱Bioinformatics and Biomedical Engineering被引頻次學(xué)科排名




書目名稱Bioinformatics and Biomedical Engineering年度引用




書目名稱Bioinformatics and Biomedical Engineering年度引用學(xué)科排名




書目名稱Bioinformatics and Biomedical Engineering讀者反饋




書目名稱Bioinformatics and Biomedical Engineering讀者反饋學(xué)科排名

領(lǐng)袖氣質(zhì)

HILAR

Iron Metabolism in the Bone Marrow features extracted from speech signals of three- to six-year children. These were tested with seven classification models. Experiments showed that these features of speech, combined with decision tree, can be employed for early screening of ASD for children with an error rate of 0.25%.

Communal

Frequency-Range

CLAM

P. J. Marie,M.-T. Garba,M. Hott,L. Miravetthod with two other tools, NCPCDA and DWNCPCDA, using a subset of the CDASOR dataset and showed that GPACDA overcomes its competitors in terms of true association ranks. Our method’s code and predictions are publicly accessible.

Assignment

GPACDA – circRNA-Disease Association Prediction with?Generating Polynomialsthod with two other tools, NCPCDA and DWNCPCDA, using a subset of the CDASOR dataset and showed that GPACDA overcomes its competitors in terms of true association ranks. Our method’s code and predictions are publicly accessible.

拖債

狗窩

Executive Summary and Conclusions,The positive correlation between WB BMC and 1-RM deadlift remained significant after controlling for age using a multiple linear regression analysis. In conclusion, the current study suggests that maximal deadlift strength is an independent determinant of bone mass in elderly men.

Aromatic

Elucidating Cancer Subtypes by?Using Epigenome and?Genome Cross-Talkmonstrate that data integration results in statistically significant subtypes similar to the TCGA subtypes and outperforms existing classification efforts. The significance of this study lies in enhancement in the subtyping of prostate cancer, as well as statistical integration of epigenomic and transcriptomic data.