OOIR: Observatory of International Research

Papers

(The H4-Index of Current Bioinformatics is 19. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Distance-based Support Vector Machine to Predict DNA N6- methyladenine Modification	227
MRMD2.0: A Python Tool for Machine Learning with Feature Ranking and Reduction	73
Identification of Drug-Disease Associations by Using Multiple Drug and Disease Networks	51
MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description	47
Sequence-based Identification of Arginine Amidation Sites in Proteins Using Deep Representations of Proteins and PseAAC	47
Review of the Applications of Deep Learning in Bioinformatics	43
Sequence-based Identification of Allergen Proteins Developed by Integration of PseAAC and Statistical Moments via 5-Step Rule	42
iATC-NFMLP: Identifying Classes of Anatomical Therapeutic Chemicals Based on Drug Networks, Fingerprints, and Multilayer Perceptron	38
iTSP-PseAAC: Identifying Tumor Suppressor Proteins by Using Fully Connected Neural Network and PseAAC	32
NPalmitoylDeep-PseAAC: A Predictor of N-Palmitoylation Sites in Proteins Using Deep Representations of Proteins and PseAAC via Modified 5-Steps Rule	29
Identification of DNA-Binding Proteins via Hypergraph Based Laplacian Support Vector Machine	28
Cervical Cancer Metastasis and Recurrence Risk Prediction Based on Deep Convolutional Neural Network	28
Analysis of the Epigenetic Signature of Cell Reprogramming by Computational DNA Methylation Profiles	23
Cancer Diagnosis and Disease Gene Identification via Statistical Machine Learning	22
Fusing Multiple Biological Networks to Effectively Predict miRNA-disease Associations	21
Modeling Hereditary Disease Behavior Using an Innovative Similarity Criterion and Ensemble Clustering	21
Predicting LncRNA Subcellular Localization Using Unbalanced Pseudo-k Nucleotide Compositions	21
An Ensembled SVM Based Approach for Predicting Adverse Drug Reactions	20
A Drug Target Interaction Prediction Based on LINE-RF Learning	19
Identification of Cancerlectins By Using Cascade Linear Discriminant Analysis and Optimal g-gap Tripeptide Composition	19
iAnt: Combination of Convolutional Neural Network and Random Forest Models Using PSSM and BERT Features to Identify Antioxidant Proteins	19