OOIR: Observatory of International Research

Papers

(The TQCC of Biodata Mining is 9. 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 2020-05-01 to 2024-05-01.)

Article	Citations
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation	377
ChatGPT and large language models in academia: opportunities and challenges	65
Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking	56
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification	51
ISLAND: in-silico proteins binding affinity prediction using sequence information	37
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	31
Deep learning-based ovarian cancer subtypes identification using multi-omics data	30
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	26
Indels in SARS-CoV-2 occur at template-switching hotspots	24
Evaluation of different approaches for missing data imputation on features associated to genomic data	22
Network pharmacology reveals the multiple mechanisms of Xiaochaihu decoction in the treatment of non-alcoholic fatty liver disease	20
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions	19
Acoustic and language analysis of speech for suicidal ideation among US veterans	19
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms	18
Machine Learning Algorithms for understanding the determinants of under-five Mortality	17
Application of network pharmacology and molecular docking to elucidate the potential mechanism of Eucommia ulmoides-Radix Achyranthis Bidentatae against osteoarthritis	16
Benchmarking AutoML frameworks for disease prediction using medical claims	15
Therapeutic mechanism of Toujie Quwen granules in COVID-19 based on network pharmacology	15
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals	15
LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification	14
Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis	13
Data analytics and clinical feature ranking of medical records of patients with sepsis	13
Diagnosis of thyroid nodules for ultrasonographic characteristics indicative of malignancy using random forest	13
Ideas for how informaticians can get involved with COVID-19 research	13

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
Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods	11
A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare	11
Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms	11
Feature selection using distributions of orthogonal PLS regression vectors in spectral data	10
PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks	10
Influenza, dengue and common cold detection using LSTM with fully connected neural network and keywords selection	10
Revisiting the use of graph centrality models in biological pathway analysis	10
Merging microarray studies to identify a common gene expression signature to several structural heart diseases	9
LightCUD: a program for diagnosing IBD based on human gut microbiome data	9
Estimating sequencing error rates using families	9
Prediction of synergistic drug combinations using PCA-initialized deep learning	9
Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data	9