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ORCIDBioData Mining, Volume 14
Volume 14, Number 1, December 2021
- Meng-Meng Zhang, Dan Wang, Feng Lu, Rong Zhao, Xun Ye, Lin He, Li Ai
, Chun-Jie Wu:
Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking. 1
- Congmin Xu, Man Zhou, Zhongjie Xie, Mo Li, Xi Zhu, Huaiqiu Zhu:
LightCUD: a program for diagnosing IBD based on human gut microbiome data. 2 - Ji-Yong An, Fanrong Meng, Zi-Ji Yan:
An efficient computational method for predicting drug-target interactions using weighted extreme learning machine and speed up robot features. 3 - Ye Emma Zohner, Jeffrey S. Morris:
COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking. 4 - Kinza Rian, Marina Esteban-Medina, Marta R. Hidalgo, Cankut Çubuk, Matias M. Falco, Carlos Loucera, Devrim Gunyel, Marek Ostaszewski, María Peña-Chilet, Joaquín Dopazo:
Mechanistic modeling of the SARS-CoV-2 disease map. 5 - Geonseok Lee, Kichun Lee:
Feature selection using distributions of orthogonal PLS regression vectors in spectral data. 7 - Yuichi Sei, Akihiko Ohsuga:
Privacy-preserving chi-squared test of independence for small samples. 6 - Jason H. Moore:
Empowering the data science scientist. 8 - Alena Orlenko, Jason H. Moore:
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions. 9 - Zejin Wang, Jing Liu, Xi Chen, Guoqing Li, Hua Han:
Sparse self-attention aggregation networks for neural sequence slice interpolation. 10 - Davide Chicco, Luca Oneto:
Data analytics and clinical feature ranking of medical records of patients with sepsis. 12 - Anas Belouali, Samir Gupta, Vaibhav Sourirajan, Jiawei Yu, Nathaniel Allen, Adil Alaoui, Mary Ann Dutton, Matthew J. Reinhard:
Acoustic and language analysis of speech for suicidal ideation among US veterans. 11 - Gianluca Moro, Marco Masseroli:
Gene function finding through cross-organism ensemble learning. 14 - Shabir Moosa, Abbes Amira, Sabri Boughorbel:
DASSI: differential architecture search for splice identification from DNA sequences. 15 - Fentaw Abegaz, François Van Lishout, Jestinah M. Mahachie John, Kridsadakorn Chaichoompu, Archana Bhardwaj, Diane Duroux, Elena S. Gusareva, Zhi Wei, Hakon Hakonarson, Kristel Van Steen:
Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure. 16 - Jung Wun Lee, Seungyeoun Lee:
A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotype. 17 - Christopher Toh, James P. Brody:
Genetic risk score for ovarian cancer based on chromosomal-scale length variation. 18 - Saeed Salem, Mohammed Alokshiya, Mohammad Al Hasan:
RASMA: a reverse search algorithm for mining maximal frequent subgraphs. 19 - Brianna Sierra Chrisman, Kelley M. Paskov, Nate Tyler Stockham, Kevin Tabatabaei, Jae-Yoon Jung, Peter Washington, Maya Varma, Min Woo Sun, Sepideh Maleki, Dennis P. Wall:
Indels in SARS-CoV-2 occur at template-switching hotspots. 20 - Y. Wang, Y. M. Chu, Adel Thaljaoui, Yousef Ali Khan, Wathek Chammam, Syed Zaheer Abbas:
A multi-feature hybrid classification data mining technique for human-emotion. 21 - Jason H. Moore, Van Q. Truong, Ashley B. Robbins, David Nicholson, Clar Lynda Williams-Devane:
Ten important roles for academic leaders to promote equity, diversity, and inclusion in data science. 22 - Ashwath Radhachandran, Anurag Garikipati, Nicole S. Zelin, Emily Pellegrini, Sina Ghandian, Jacob S. Calvert, Jana L. Hoffman, Qingqing Mao, Ritankar Das:
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data. 23 - Peng Qiu, Yixuan Li, Kai Liu, Jinbao Qin, Kaichuang Ye, Tao Chen, Xinwu Lu:
Prescreening and treatment of aortic dissection through an analysis of infinite-dimension data. 24 - Cláudia S. Constantino, Alexandra M. Carvalho, Susana Vinga:
Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis. 25 - Seema Singh Saharan, Pankaj Nagar, Kate Townsend Creasy, Eveline O. Stock, James Feng, Mary J. Malloy, John P. Kane:
Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines. 26 - Davide Chicco, Niklas Tötsch, Giuseppe Jurman:
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation. 13 - Kelley M. Paskov, Jae-Yoon Jung, Brianna Sierra Chrisman, Nate Tyler Stockham, Peter Washington, Maya Varma, Min Woo Sun, Dennis P. Wall:
Estimating sequencing error rates using families. 27
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