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ORCIDInternational Journal of Data Mining and Bioinformatics, Volume 24
Volume 24, Number 1, 2020
- Suhyun Hwangbo, Se Ik Kim, Untack Cho, Dae-Shik Suh, Yongsang Song, Taesung Park:
Systematic investigation of hyperparameters on performance of deep neural networks: application to ovarian cancer phenotypes. 1-15 - Lorenzo Madeddu, Giovanni Stilo, Paola Velardi
:
A feature-learning-based method for the disease-gene prediction problem. 16-37 - Jin-Xiong Lv, Shikui Tu, Lei Xu:
Two-variate phenotype-targeted tests for detecting phenotypic biomarkers in cancers. 38-57 - Prasoon Joshi, Seokho Jeong, Taesung Park:
Sparse superlayered neural network-based multi-omics cancer subtype classification. 58-73 - Jing Hu, Haomin Gan, Nansheng Chen, Xiaolong Zhang:
Identification of protein hot regions by combining structure-based classification, energy-based clustering and sequence-based conservation in evolution. 74-95
Volume 24, Number 2, 2020
- Leila Baradaran Sorkhabi, Farhad Soleimanian Gharehchopogh, Jafar Shahamfar:
A systematic approach for pre-processing electronic health records for mining: case study of heart disease. 97-120 - TaeJin Ahn, Taewan Goo, Chan-hee Lee, Sungmin Kim, Kyullhee Han, Sangick Park, Taesung Park:
Deep learning-based classification and interpretation of gene expression data from cancer and normal tissues. 121-139 - Yao Lu, Ying-Lian Gao, Pei-Yong Li, Jin-Xing Liu:
A multi-view classification and feature selection method via sparse low-rank regression analysis. 140-159 - Yuyou Weng, Xinyi Liu, Hui Li, Chen Lin, Yun Liang:
Drug target interaction prediction via multi-task co-attention. 160-176 - Fangxiong Chen, Guoheng Huang, Hui-Shi Wu, Ke Hu, Weiwen Zhang, Lianglun Cheng:
Foetal weight prediction based on improved PSO-GRNN model. 177-200
Volume 24, Number 3, 2020
- Xuezhi Xie, Yuanyuan Han, Kaizhong Zhang:
MHCherryPan: a novel pan-specific model for binding affinity prediction of class I HLA-peptide. 201-219 - Kyullhee Han, Hyeonjung Ham, Se Ik Kim, Yongsang Song, Taesung Park, TaeJin Ahn:
Ensemble of deep learning models to predict platinum resistance in high grade serous ovarian cancer. 220-237 - Chen Shen, Hongfei Lin, Zhengguang Li, Yonghe Chu, Zhihao Yang:
Sensitivity-controlled event trigger identification in multi-level biomedical context. 238-257 - Young-Rae Cho:
Evaluation of cross-ontology association rules weighted by term specificity. 258-268 - Senthilnathan Rajendran, Arunachalam Jothi:
An amino acid property-based method for identifying solenoid proteins. 269-289
Volume 24, Number 4, 2020
- Qianran Li, Dario Ghersi, Ishwor Thapa, Ling Zhang, Hesham Ali, Kate Cooper:
Measurement of structural change in co-expression networks from cancer gene expression data. 291-305 - Xiaoshu Zhu, Lilu Guo, Rongyuan Li, Yunpei Xu, Fang-Xiang Wu, Xiaoqing Peng, Hong-Dong Li:
A network enhancement-based method for clustering of single cell RNA-seq data. 306-325 - Alhadi Bustamam, Soeganda Formalidin, Titin Siswantining, Zuherman Rustam:
Finding correlated biclusters from microarray data using the modified lift algorithm based on new residue score. 326-343 - Onur Mendi, Adem Karahoca:
Identification of candidate biomarkers and pathways in breast cancer by differential network analysis. 344-367 - Yong Xiao, Jiao-Zhi Wang, Shao-Wu Shen, Xiao-Qiong Wang, Yunfang Liu, Yan Wang:
Study on the rule and logical relationship of TCM prescription for lumbago. 368-379
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