OOIR: Observatory of International Research

Papers

(The median citation count of Biodata Mining is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)

Article	Citations
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation	361
ChatGPT and large language models in academia: opportunities and challenges	56
Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking	55
Deep learning methods improve linear B-cell epitope prediction	44
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification	40
ISLAND: in-silico proteins binding affinity prediction using sequence information	36
Exploring active ingredients and function mechanisms of Ephedra-bitter almond for prevention and treatment of Corona virus disease 2019 (COVID-19) based on network pharmacology	30
Deep learning-based ovarian cancer subtypes identification using multi-omics data	29
Examining the effector mechanisms of Xuebijing injection on COVID-19 based on network pharmacology	28
Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making	25
Indels in SARS-CoV-2 occur at template-switching hotspots	24
Network pharmacology reveals the multiple mechanisms of Xiaochaihu decoction in the treatment of non-alcoholic fatty liver disease	20
Evaluation of different approaches for missing data imputation on features associated to genomic data	20
Acoustic and language analysis of speech for suicidal ideation among US veterans	19
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions	18
Machine Learning Algorithms for understanding the determinants of under-five Mortality	16
A network pharmacology-based study on Alzheimer disease prevention and treatment of Qiong Yu Gao	16
Application of network pharmacology and molecular docking to elucidate the potential mechanism of Eucommia ulmoides-Radix Achyranthis Bidentatae against osteoarthritis	16
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms	15
Therapeutic mechanism of Toujie Quwen granules in COVID-19 based on network pharmacology	14
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals	14
Data analytics and clinical feature ranking of medical records of patients with sepsis	13
Ideas for how informaticians can get involved with COVID-19 research	13
LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification	13
Benchmarking AutoML frameworks for disease prediction using medical claims	12

Diagnosis of thyroid nodules for ultrasonographic characteristics indicative of malignancy using random forest	12
Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms	11
Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods	11
Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis	11
Mechanistic modeling of the SARS-CoV-2 disease map	11
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data	11
PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks	10
Revisiting the use of graph centrality models in biological pathway analysis	9
Merging microarray studies to identify a common gene expression signature to several structural heart diseases	9
Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data	9
Estimating sequencing error rates using families	9
Feature selection using distributions of orthogonal PLS regression vectors in spectral data	9
Prediction of synergistic drug combinations using PCA-initialized deep learning	8
Influenza, dengue and common cold detection using LSTM with fully connected neural network and keywords selection	8
COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking	8
LightCUD: a program for diagnosing IBD based on human gut microbiome data	8
A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare	8
Machine learning approaches for the genomic prediction of rheumatoid arthritis and systemic lupus erythematosus	7
iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes	7
Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines	7
Humans and machines in biomedical knowledge curation: hypertrophic cardiomyopathy molecular mechanisms’ representation	7
The accelerated aging model reveals critical mechanisms of late-onset Parkinson’s disease	6
Privacy-preserving chi-squared test of independence for small samples	6
New neural network classification method for individuals ancestry prediction from SNPs data	6
A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma	6
Prescreening and treatment of aortic dissection through an analysis of infinite-dimension data	5
Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit	5
Prediction of MoRFs based on sequence properties and convolutional neural networks	5
An efficient computational method for predicting drug-target interactions using weighted extreme learning machine and speed up robot features	5
Identification of natural selection in genomic data with deep convolutional neural network	4
mSRFR: a machine learning model using microalgal signature features for ncRNA classification	4
Polygenic risk modeling of tumor stage and survival in bladder cancer	4
Comparison of 16S and whole genome dog microbiomes using machine learning	4
RASMA: a reverse search algorithm for mining maximal frequent subgraphs	4
A multi-feature hybrid classification data mining technique for human-emotion	4
Gene function finding through cross-organism ensemble learning	4
An epistatic interaction between pre-natal smoke exposure and socioeconomic status has a significant impact on bronchodilator drug response in African American youth with asthma	4
Conservation machine learning	4
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma	3
Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children	3
Genetic risk score for ovarian cancer based on chromosomal-scale length variation	3
Automated quantitative trait locus analysis (AutoQTL)	3
iSuc-ChiDT: a computational method for identifying succinylation sites using statistical difference table encoding and the chi-square decision table classifier	3
Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts	3
ParticleChromo3D: a Particle Swarm Optimization algorithm for chromosome 3D structure prediction from Hi-C data	3
iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation	3
Identification of therapeutic targets from genetic association studies using hierarchical component analysis	3
Predicting molecular initiating events using chemical target annotations and gene expression	3
Robust and rigorous identification of tissue-specific genes by statistically extending tau score	3
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data	3

Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma	3
Machine-learning based feature selection for a non-invasive breathing change detection	3