Journal of Bioinformatics and Computational Biology

Papers
(The median citation count of Journal of Bioinformatics and Computational Biology is 1. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Identification of genes associated with cancer prognosis in glioma: In silico data analyses of Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA)29
Prediction model for synergistic anti-tumor multi-compound combinations from traditional Chinese medicine based on extreme gradient boosting, targets and gene expression data17
PANDA: Predicting the change in proteins binding affinity upon mutations by finding a signal in primary structures11
CBDT-Oglyc: Prediction of O-glycosylation sites using ChiMIC-based balanced decision table and feature selection10
Involving repetitive regions in scaffolding improvement9
A novel method for predicting DNA N4-methylcytosine sites based on deep forest algorithm8
DBP-GAPred: An intelligent method for prediction of DNA-binding proteins types by enhanced evolutionary profile features with ensemble learning6
Colorful orthology clustering in bounded-degree similarity graphs5
TemporalGSSA: A numerically robust R-wrapper to facilitate computation of a metabolite-specific and simulation time-dependent trajectory from stochastic simulation algorithm (SSA)-generated datasets5
Computation and analysis of stationary and periodic solutions of the COVID-19 infection dynamics model5
ASAP-DTA: Predicting drug-target binding affinity with adaptive structure aware networks5
Analysis of clonal evolution in cancer: A computational perspective4
EnAMP: A novel deep learning ensemble antibacterial peptide recognition algorithm based on multi-features4
Accounting for treatment during the development or validation of prediction models4
Methods for cell-type annotation on scRNA-seq data: A recent overview4
MoRF_ESM: Prediction of MoRFs in disordered proteins based on a deep transformer protein language model4
How much can ChatGPT really help computational biologists in programming?4
Learning long- and short-term dependencies for improving drug-target binding affinity prediction using transformer and edge contraction pooling4
Flux balance network expansion predicts stage-specific human peri_implantation embryo metabolism4
Feedback-AVPGAN: Feedback-guided generative adversarial network for generating antiviral peptides3
Author Index Volume 20 (2022)3
Behavioral dynamics of bacteriophage gene regulatory networks3
Introduction to Selected Papers from InCoB 20213
NuKit: A deep learning platform for fast nucleus segmentation of histopathological images3
The mechanism accounting for DNA damage strength modulation of p53 dynamical properties3
Identifying duplications and lateral gene transfers simultaneously and rapidly3
Population-specific adaptation in malaria-endemic regions of asia3
The monoploid chromosome complement of reconstructed ancestral genomes in a phylogeny3
NDMNN: A novel deep residual network based MNN method to remove batch effects from scRNA-seq data3
Polypharmacy side effect prediction based on semi-implicit graph variational auto-encoder3
Improving drug–target interaction prediction through dual-modality fusion with InteractNet3
O-glycosylation site prediction for Homo sapiens by combining properties and sequence features with support vector machine2
Exploring relationship between hypercholesterolemia and instability of atherosclerotic plaque — An approach based on a matrix population model2
Body plan evolvability: The role of variability in gene regulatory networks2
Integrating temporal and spatial variabilities for identifying ion binding proteins in phage2
An alignment-independent three-dimensional quantitative structure–activity relationship study on ron receptor tyrosine kinase inhibitors2
Local RNA folding revisited2
Transforming OMIC features for classification using siamese convolutional networks2
iAMY-RECMFF: Identifying amyloidgenic peptides by using residue pairwise energy content matrix and features fusion algorithm2
Evaluating network-based missing protein prediction using p-values, Bayes Factors, and probabilities2
A novel method addressing NGS-based mappability bias for sensitive detection of DNA alterations2
Mining sponge phenomena in RNA expression data2
Prediction of nucleosome dynamic interval based on long–short-term memory network (LSTM)2
The use of 4D data-independent acquisition-based proteomic analysis and machine learning to reveal potential biomarkers for stress levels2
A pharmacokinetic model based on the SSA-1DCNN-Attention method2
Analyzing the performance of short-read classification tools on metagenomic samples toward proper diagnosis of diseases2
Introduction to the Special Issue of the 18th Annual International RECOMB Satellite Workshop on Comparative Genomics2
Facilitating the drug repurposing with iC/E strategy: A practice on novel nNOS inhibitor discovery2
Amino acid environment affinity model based on graph attention network1
Gene regulatory network inference based on modified adaptive lasso1
Integrating pharmacophore model and deep learning for activity prediction of molecules with BRCA1 gene1
RPfam: A refiner towards curated-like multiple sequence alignments of the Pfam protein families1
Incorporating intergenic regions into reversal and transposition distances with indels1
SAKit: An all-in-one analysis pipeline for identifying novel proteins resulting from variant events at both large and small scales1
Support vector machine-based prediction of pore-forming toxins (PFT) using distributed representation of reduced alphabets1
Impacts of reference selection on the assembly of suspicious coronavirus genome1
DNA sequences alignment method using sparse index on pan-genome graph1
iRNA5hmC-HOC: High-order correlation information for identifying RNA 5-hydroxymethylcytosine modification1
SS-DTI: A deep learning method integrating semantic and structural information for drug-target interaction prediction1
Integratedin silicoin vitrorational design of oncogenic EGFR-derived specific monoclonal antibody-binding peptide mimotopes1
A technique for preserving network structure in randomized Hi-C data1
Impacts of high-quality public data: Special issue on integrating public and in-house biomedical data1
Incorporating biological networks into high-dimensional Bayesian survival analysis using an ICM/M algorithm1
Clarifying real receptor binding site between coronavirus HCoV-HKU1 and 9-O-Ac-Sia based on molecular docking1
Author Index Volume 21 (2023)1
Antimicrobial peptides recognition using weighted physicochemical property encoding1
RNA modification writers influence tumor microenvironment in gastric cancer and prospects of targeted drug therapy1
CNV-FB: A Feature bagging strategy-based approach to detect copy number variants from NGS data1
Denoising of scanning electron microscope images for biological ultrastructure enhancement1
Numerical study of chronic hepatitis B infection using Marchuk–Petrov model1
A new Bayesian approach for QTL mapping of family data1
Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data1
Computational design and experimental confirmation of conformationally constrained peptides to compete with coactivators for pediatric PPARα by minimizing indirect readout effect1
Prediction and validation of avascular tumor growth pattern in different metabolic conditions using in silico and in vitro models1
Expansin gene family database: A comprehensive bioinformatics resource for plant expansin multigene family1
A deep imputation and inference framework for estimating personalized and race-specific causal effects of genomic alterations on PSA1
Identification of a seven autophagy-related gene pairs signature for the diagnosis of colorectal cancer using the RankComp algorithm1
Construction of a multi-tissue compound–target interaction network of Qingfei Paidu decoction in COVID-19 treatment based on deep learning and transcriptomic analysis1
Trade-offs among transcription elongation rate, number, and duration of ubiquitous pauses on highly transcribed bacterial genes1
GCMCDTI: Graph convolutional autoencoder framework for predicting drug–target interactions based on matrix completion1
iDNA6mA-Rice-DL: A local web server for identifying DNA N6-methyladenine sites in rice genome by deep learning method1
Testing and improving the performance of protein thermostability predictors for the engineering of cellulases1
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