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ORCIDInternational Journal of Data Mining and Bioinformatics, Volume 25
Volume 25, Numbers 1/2, 2021
- Taewan Goo, Kyulhee Han
, Catherine Apio, Taesung Park:
Analysis of COVID-19 genetic risk susceptibility using UK Biobank SNP genotype data. 1-16 - Gabrielle Dagasso, Yan Yan, Lipu Wang, Longhai Li, Randy Kutcher, Wentao Zhang, Lingling Jin:
Leveraging machine learning to advance genome-wide association studies. 17-36 - Timothy James Becker, Dong-Guk Shin:
Structural variation calling and genotyping by moment-based deep convolutional neural networks. 37-52 - Junghyun Namkung:
Detection of foetal single gene mutations using only maternal blood samples. 53-64 - Shuai Zeng, Mária Skrabisová, Zhen Lyu, Yen On Chan, Nicholas Dietz, Kristin Bilyeu, Trupti Joshi:
Application of SNPViz v2.0 using next-generation sequencing data sets in the discovery of potential causative mutations in candidate genes associated with phenotypes. 65-85 - Md. Kamruzzaman, Yonggab Kim, Yeni Lim, Oran Kwon, Taesung Park:
Evaluation of statistical methods for the analysis of crossover designs with repeated measurements. 86-102 - Wipawan Buathong, Pita Jarupunphol:
Dengue fever prediction modelling using data mining techniques. 103-127
Volume 25, Numbers 3/4, 2021
- Shan Chen, Tianhong Pan, Haoran Li:
Non-linear optimisation with constraints for four-parameter logistic model used in cell-based in-vitro assay. 129-144 - Praveen Kumar Guttula, Mukesh Kumar Gupta:
Dynamic basis of mRNA processing in male germline stem cell pluripotency and reprogramming by alternative polyadenylation. 145-160 - Priyojit Das, Sujay Saha:
HNC: a hybrid neighbourhood-consensus clustering algorithm for single-cell RNA-seq data. 161-180 - Serena Rajakumar, G. Kavitha, I. Sathik Ali:
Extraction of drug-drug interaction information using a deep neural network. 181-200 - Sedef Hande Aktas, Dilara Fatma Akin-Bali, Ozan Yazici:
A detailed in-silico analysis of potential gastric cancer molecular marker genes in the literature. 201-215 - Seyyed Mahdi Hosseini Sarkhosh, Mahdieh Taghvaei:
Identification and prioritisation of diabetic nephropathy risk factors in diabetes patients using machine learning approach. 216-233 - J. Samuel Manoharan, M. Braveen, G. Ganesan Subramanian:
A hybrid approach to accelerate the classification accuracy of cervical cancer data with class imbalance problems. 234-261
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