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BioData 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 - Mahyar Sharifi, Toktam Khatibi, Mohammad Hassan Emamian
, Somayeh Sadat, Hassan Hashemi
, Akbar Fotouhi:
Development of glaucoma predictive model and risk factors assessment based on supervised models. - Inese Polaka
, Danute Razuka-Ebela, Jin Young Park, Marcis Leja:
Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection. - Sebastian Racedo
, Ivan Portnoy
, Jorge I. Vélez
, Homero San-Juan-Vergara
, Marco E. Sanjuan
, Eduardo E. Zurek
:
A new pipeline for structural characterization and classification of RNA-Seq microbiome data. - Maya Varma
, Kelley M. Paskov, Brianna Sierra Chrisman
, Min Woo Sun, Jae-Yoon Jung, Nate Tyler Stockham, Peter Washington
, Dennis P. Wall:
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism. - Chih-Wei Chung, Tzu-Hung Hsiao, Chih-Jen Huang, Yen-Ju Chen, Hsin-Hua Chen, Ching-Heng Lin, Seng-Cho Chou, Tzer-Shyong Chen
, Yu-Fang Chung
, Hwai-I Yang
, Yi-Ming Chen
:
Machine learning approaches for the genomic prediction of rheumatoid arthritis and systemic lupus erythematosus. - Theodore G. Drivas
, Anastasia Lucas, Marylyn D. Ritchie:
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals. - Haripriya Harikumar
, Thomas P. Quinn, Santu Rana
, Sunil Gupta, Svetha Venkatesh:
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient. - Miquel Ensenyat-Mendez, Sandra Íñiguez-Muñoz, Borja Sesé, Diego M. Marzese:
Correction to: iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes. - Miquel Ensenyat-Mendez
, Sandra Íñiguez-Muñoz
, Borja Sesé, Diego M. Marzese
:
iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes. - Mila Glavaski
, Lazar U. Velicki:
Humans and machines in biomedical knowledge curation: hypertrophic cardiomyopathy molecular mechanisms' representation. - Nicholas Giangreco, Nicholas P. Tatonetti
:
Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children. - Zhixuan Zeng, Shuo Yao, Jianfei Zheng, Xun Gong
:
Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis. - Jun Ma
, Alison A. Motsinger-Reif
:
Prediction of synergistic drug combinations using PCA-initialized deep learning. - Lihong Peng, Ruya Yuan, Ling Shen, Pengfei Gao, Liqian Zhou:
LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification. - Qian Yan, Wenjiang Zheng, Boqing Wang, Baoqian Ye, Huiyan Luo, Xinqian Yang, Ping Zhang, Xiongwen Wang
:
A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma. - Scott Lewis, Andrea Nash, Qinghong Li
, Tae-Hyuk Ahn
:
Comparison of 16S and whole genome dog microbiomes using machine learning. - Erika Cantor
, Rodrigo Salas, Harvey Rosas, Sandra Guauque-Olarte
:
Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis. - Jacqueline Michelle Beinecke
, Dominik Heider
:
Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making. - Ben Omega Petrazzini, Hugo Naya, Fernando Lopez-Bello, Gustavo E. Vazquez
, Lucía Spangenberg
:
Evaluation of different approaches for missing data imputation on features associated to genomic data. - Juliana Alves Pegoraro
, Sophie Lavault
, Nicolas Wattiez, Thomas Similowski, Jésus Gonzalez-Bermejo, Etienne Birmelé:
Machine-learning based feature selection for a non-invasive breathing change detection. - Sankalp Jain, Amit Saxena, Suprit Hesarur, Kirti Bhadhadhara, Neeraj Bharti, Sunitha Manjari Kasibhatla, Uddhavesh Sonavane
, Rajendra Joshi
:
GenoVault: a cloud based genomics repository. - Arnaud Nguembang Fadja
, Fabrizio Riguzzi, Giorgio Bertorelle
, Emiliano Trucchi:
Identification of natural selection in genomic data with deep convolutional neural network. - Shuanglong Fan, Zhiqiang Zhao, Yanbo Zhang, Hongmei Yu, ChuChu Zheng, XueQian Huang, Zhenhuan Yang, Meng Xing, Qing Lu, Yanhong Luo
:
Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma. - Hao He, Yatong Zhou
, Yue Chi, Jingfei He:
Prediction of MoRFs based on sequence properties and convolutional neural networks.
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