Methods

Papers
(The TQCC of Methods is 10. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Drug repurposing for identification of potential spike inhibitors for SARS-CoV-2 using molecular docking and molecular dynamics simulations237
Editorial Board113
FedMCC: Federated multi-center clustering algorithm to improve privacy healthcare109
Editorial Board109
Interpretable thoracic pathologic prediction via learning group-disentangled representation86
RabbitQCPlus 2.0: More efficient and versatile quality control for sequencing data77
On finding natural antibiotics based on TCM formulae76
Approaches for the sensitive detection of rare base and prime editing events74
Integrating engineered point spread functions into the phasor-based single-molecule localization microscopy framework73
Predicting genes associated with ossification of the posterior longitudinal ligament using graph attention network72
Pyrogallol-based dipodal optical probe as new smart analytical tool for sustainable detection of cobalt in biosystem71
Multi-omics data integration and drug screening of AML cancer using Generative Adversarial Network61
Development of novel digital PCR assays for the rapid quantification of Gram-negative bacteria biomarkers using RUCS algorithm61
LoopSage: An energy-based Monte Carlo approach for the loop extrusion modeling of chromatin60
In vivo detection of GPCR-dependent signaling using fiber photometry and FRET-based biosensors59
Automatic ICD-10-CM coding via Lambda-Scaled attention based deep learning model58
Profiling cell-type specific gene expression in post-mortem human brain samples through laser capture microdissection56
Editorial Board54
A transformer-based multi-features fusion model for prediction of conversion in mild cognitive impairment54
An overview of extracellular field potentials: Different potentiation and measurable components, interpretations, and hippocampal synaptic activity models52
Predicting drug-induced liver injury using graph attention mechanism and molecular fingerprints51
Brain controllability and morphometry similarity of internet gaming addiction51
PIF – A Java library for finding atomic interactions and extracting geometric features supporting the analysis of protein structures50
Editorial Board48
Editorial Board47
Trans ligation of RNAs to generate hybrid circular RNAs using highly efficient autocatalytic transcripts47
Two minimally invasive strategies to implant guide cannulas for multiple injections in deep brain areas46
Strategies for ocular drug delivery45
MRDFF: A deep forest based framework for CT whole heart segmentation43
Synthesis of carbon nanotubes using pre-sintered oil fly ash via a reproducible process with large-scale potential42
Comprehensive evaluation of molecule property prediction with ChatGPT41
MLm5C: A high-precision human RNA 5-methylcytosine sites predictor based on a combination of hybrid machine learning models41
Reconstruction of circular RNAs using Illumina and Nanopore RNA-seq datasets38
DeepFusion: A deep learning based multi-scale feature fusion method for predicting drug-target interactions37
Synthetic PPR proteins as tools for sequence-specific targeting of RNA37
Clinical analysis of eye movement-based data in the medical diagnosis of amblyopia34
Atomic force microscope kymograph analysis: A case study of two membrane proteins33
Non-canonical amino acids and protein dynamics33
Isolation and culture of adult murine cardiac atrial and ventricular fibroblasts and myofibroblasts32
The performance of human cytomegalovirus digital PCR reference measurement procedure in seven external quality assessment schemes over four years31
MGDDI: A multi-scale graph neural networks for drug–drug interaction prediction31
Breaking barrier of binding buffer in colorimetric aptasensing of tetracycline in food fish using peroxidase mimic gold NanoZyme31
iRNA-m5U: A sequence based predictor for identifying 5-methyluridine modification sites in Saccharomyces cerevisiae30
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives30
Pseudouridine RNA modification detection and quantification by RT-PCR30
MRUNet-3D: A multi-stride residual 3D UNet for lung nodule segmentation30
Deepm6A-MT: A deep learning-based method for identifying RNA N6-methyladenosine sites in multiple tissues30
Advanced glycation end products in musculoskeletal system and disorders28
Development and validation of a stability-indicating HPLC method for assay of tonabersat in pharmaceutical formulations28
Comparing performance of iterative and non-iterative algorithms on various feature schemes for arrhythmia analysis28
Editorial Board27
Editorial Board27
Hybrid manifold-deep convolutional neural network for sleep staging27
Prediction of cell-type-specific cohesin-mediated chromatin loops based on chromatin state26
EpiHNet: Detecting epistasis by heterogeneous molecule network26
Strategy for modeling higher-order G-quadruplex structures recalcitrant to NMR determination26
Improving domain generalization performance for medical image segmentation via random feature augmentation26
Multi-view contrastive clustering for cancer subtyping using fully and weakly paired multi-omics data26
Study protocol for a single-arm pilot trial investigating the feasibility of a multimodal digital technology for managing metabolic syndrome in patients with chronic obstructive pulmonary disease25
Prediction of the transcription factor binding sites with meta-learning25
Model-agnostic confidence measurement for aggregating multimodal ensemble models in automatic diagnostic systems25
AntiT2DMP-Pred: Leveraging feature fusion and optimization for superior machine learning prediction of type 2 diabetes mellitus25
A heterogeneous graph transformer framework for accurate cancer driver gene prediction and downstream analysis23
scGAAC: A graph attention autoencoder for clustering single-cell RNA-sequencing data23
Guest Editor’s Introduction: Optical methods for characterisation of biomolecules23
MPFFPSDC: A multi-pooling feature fusion model for predicting synergistic drug combinations22
Novel approaches to biomarker discover22
UGDAS: Unsupervised graph-network based denoiser for abstractive summarization in biomedical domain22
Measuring functional similarity of lncRNAs based on variable K-mer profiles of nucleotide sequences21
MLFA-UNet: A multi-level feature assembly UNet for medical image segmentation21
A federated learning method for real-time emotion state classification from multi-modal streaming20
A brief review of RNA modification related database resources20
COVID-19 lesion detection and segmentation–A deep learning method20
Glaucoma screening using an attention-guided stereo ensemble network20
Recent progress in the analysis of protein deamidation using mass spectrometry20
Inner leaflet cationic lipid increases nucleic acid loading independently of outer leaflet lipid charge in asymmetric liposomes19
Microproteins transitioning into a new Phase: Defining the undefined19
Production, analysis, and safety assessment of a soil and plant-based natural material with microbiome- and immune-modulatory effects19
Probing excited state 1Hα chemical shifts in intrinsically disordered proteins with a triple resonance-based CEST experiment: Application to a disorder-to-order switch19
Corrigendum to “Decoding selective auditory attention with EEG using a transformer model” [Methods 204 (2022) 410–417]19
Steric trapping strategy for studying the folding of helical membrane proteins19
Computational methods and strategies for combating COVID-1919
Modeling repeated self-reported outcome data: A continuous-time longitudinal Item Response Theory model18
DRCNNTLe: A deep recurrent convolutional neural network with transfer learning through pre-trained embeddings for automated ICD coding18
Identifying and ranking potential cancer drivers using representation learning on attributed network18
SGAE-MDA: Exploring the MiRNA-disease associations in herbal medicines based on semi-supervised graph autoencoder18
Toward a rigorous assessment of the statistical performances of methods to estimate the Minimal Important Difference of Patient-Reported Outcomes: A protocol for a large-scale simulation study18
Convolutional autoencoder based on latent subspace projection for anomaly detection18
Statistical methods for comparing test positivity rates between countries: Which method should be used and why?18
Identification of DNase I hypersensitive sites in the human genome by multiple sequence descriptors18
Chromatin image-driven modelling18
Baker’s yeast beta glucan supplementation was associated with an improved innate immune mRNA expression response after exercise18
Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors18
Biomedical event causal relation extraction with deep knowledge fusion and Roberta-based data augmentation18
Deep learning based method for predicting DNA N6-methyladenosine sites17
Novel RT-ddPCR assays for measuring the levels of subgenomic and genomic SARS-CoV-2 transcripts17
The semisynthesis of site-specifically modified histones and histone-based probes of chromatin-modifying enzymes17
A dual-function fluorescence 'turn-on' probe that allows Zn (II) bioimaging and quantification of water in the organic solvent17
Editorial Board17
CLCAP: Contrastive learning improves antigenicity prediction for influenza A virus using convolutional neural networks17
The prognostic value of machine learning techniques versus cox regression model for head and neck cancer17
Single molecule methods for studying CRISPR Cas9-induced DNA unwinding16
A novel carboxyl polymer-modified upconversion luminescent nanoprobe for detection of prostate-specific antigen in the clinical gray zonebase by flow immunoassay strip16
Integrating single-molecule spectroscopy and simulations for the study of intrinsically disordered proteins16
CSSEC: An adaptive approach integrating consensus and specific self-expressive coefficients for multi-omics cancer subtyping16
Meta-IL4: An ensemble learning approach for IL-4-inducing peptide prediction16
Methods for preparation of niosomes: A focus on thin-film hydration method16
A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG16
Detection and quantification of nanoparticle-induced intracellular ROS in live cells by laser scanning confocal microscopy16
Hybrid multimodal fusion for graph learning in disease prediction16
ZeRPI: A graph neural network model for zero-shot prediction of RNA-protein interactions15
A comprehensive preanalytical protocol for fresh solid tumor biospecimens15
Assessing the role of intrinsic disorder in RNA-binding protein function: hnRNP K as a case study15
Graph matching survey for medical imaging: On the way to deep learning15
Methods for recruiting endogenous and exogenous ADAR enzymes for site-specific RNA editing15
Magic-angle spinning NMR spectral editing of polysaccharides in whole cells using the DREAM scheme15
Kinetics measurements of G-quadruplex binding and unfolding by helicases14
HistoSPACE: Histology-inspired spatial transcriptome prediction and characterization engine14
Editorial Board14
Signal and noise in circRNA translation14
m5c-iDeep: 5-Methylcytosine sites identification through deep learning14
A streamlined CRISPR workflow to introduce mutations and generate isogenic iPSCs for modeling amyotrophic lateral sclerosis14
Identification of adaptor proteins by incorporating deep learning and PSSM profiles14
Editorial Board14
Predicting miRNA-lncRNA interactions on plant datasets based on bipartite network embedding method14
Probing the conformational dynamics of thiol-isomerases using non-canonical amino acids and single-molecule FRET14
dsRNAPredictor-II: An improved predictor of identifying dsRNA and its silencing efficiency for Tribolium castaneum based on sequence length distribution14
In silico identification of Histone Deacetylase inhibitors using Streamlined Masked Transformer-based Pretrained features14
Latest progress in the study of nanoparticle-based delivery of the CRISPR/Cas9 system13
MTGNN: Multi-Task Graph Neural Network based few-shot learning for disease similarity measurement13
Integrating a multi-omics strategy framework to screen potential targets in cognitive impairment-related epilepsy13
Editorial Board13
Sensitivity-enhanced NMR 15N R1 and R1ρ relaxation experiments for the investigation of intrinsically disordered proteins at high magnetic fields13
Atrial-specific hiPSC-derived cardiomyocytes in drug discovery and disease modeling13
An effective multi-task learning framework for drug repurposing based on graph representation learning13
Smartphone-based low-cost and rapid quantitative detection of urinary creatinine with the Tyndall effect13
Editorial Board13
Editorial Board13
Design of a 1 × 4 micro-magnetic stimulation device and its targeted, coordinated regulation on LTP of Schaffer-CA1 in the hippocampus of rats12
Current methodologies in studying chromatin and gene expression12
KbhbXG: A Machine learning architecture based on XGBoost for prediction of lysine β-Hydroxybutyrylation (Kbhb) modification sites12
Bacterial flagellar motor as a multimodal biosensor12
APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features12
Quantitative profiling N1-methyladenosine (m1A) RNA methylation from Oxford nanopore direct RNA sequencing data12
Carbon dots fluorescence can be used to distinguish isobaric peptide and to monitor protein oligomerization dynamics12
SITP: A single cell bioinformatics analysis flow captures proteasome markers in the development of breast cancer12
Near-infrared fluorescent probe based on rhodamine derivative for detection of NADH in live cells12
Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genome12
Resources for computational prediction of intrinsic disorder in proteins12
Rapid and efficient cataract gene evaluation in F0 zebrafish using CRISPR-Cas9 ribonucleoprotein complexes12
SV-JIM, detailed pairwise structural variant calling using long-reads and genome assemblies12
Quantitation of F-actin in cytoskeletal reorganization: Context, methodology and implications12
A fluorescence turn “on-off” imaging probe for sequential detection of Al3+ and L-Cysteine in HeLa cells12
Primary sequence-assisted prediction of m6A RNA methylation sites from Oxford nanopore direct RNA sequencing data12
Methods to study circRNA-protein interactions12
HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties12
Introduction of mutations in plants with prime editing12
Accurate contactless sleep apnea detection framework with signal processing and machine learning methods11
Using synthetic genome readers/regulators to interrogate chromatin processes: A brief review11
Deep Learning-Based construction of a Drug-Like compound database and its application in virtual screening of HsDHODH inhibitors11
Study of circular RNA translation using reporter systems in living cells11
Model-based autoencoders for imputing discrete single-cell RNA-seq data11
Isothermal titration calorimetry and surface plasmon resonance methods to probe protein–protein interactions11
Efficient experimental method for purifying allergens from aqueous extracts11
TPQCI: A topology potential-based method to quantify functional influence of copy number variations11
Editorial Board11
Low friction hydrogel with diclofenac eluting ability for dry eye therapeutic contact lenses11
Facile green synthesis of ZnO-RGO nanocomposites with enhanced anticancer efficacy11
GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome11
Novel, standardized sample collection from the brain-nose interface11
DTKGIN: Predicting drug-target interactions based on knowledge graph and intent graph11
Hexagonal image segmentation on spatially resolved transcriptomics11
3D printing of calcium doped Isomalt via custom-made Extruder: Facile approach for creating blood vascular like networks within tissue mimicking hydrogel matrix11
Validation of plasmonic-based biosensors for rapid and in depth characterization of monoclonal antibodies directed against rabbit haemorrhagic and foot-and-mouth disease viruses in biological samples11
Editorial Board10
Prediction of coronary heart disease based on combined reinforcement multitask progressive time-series networks10
Corrigendum to “Smart biomaterials: From 3D printing to 4D bioprinting” [Methods 205 (2022) 191–199]10
LPI-IBWA: Predicting lncRNA-protein interactions based on an improved Bi-Random walk algorithm10
Development and validation of a new and rapid molecular diagnostic tool based on RT-LAMP for Hepatitis C virus detection at point-of-care10
High resolution imaging of viruses: Scanning probe microscopy and related techniques10
Prediction of drug-induced hepatotoxicity based on histopathological whole slide images10
Publisher’s note10
AntiMF: A deep learning framework for predicting anticancer peptides based on multi-view feature extraction10
Imaging flow cytometry reveals LPS-induced changes to intracellular intensity and distribution of α-synuclein in a TLR4-dependent manner in STC-1 cells10
Copper catalyzed cycloaddition for the synthesis of non isomerisable 2′ and 3′-regioisomers of arg-tRNAarg10
Determination of RNA-ligand interactions with the photoaffinity platform PEARL-seq10
Metabolic insights from mass spectrometry imaging of biofilms: A perspective from model microorganisms10
Temperature-jump microscopy and interaction of Hsp70 heat shock protein with a client protein in vivo10
DNA building blocks for AFM tip functionalization: An easy, fast and stable strategy10
MSO-GP: 3-D segmentation of large and complex conjoined tree structures10
NGOME-Lite: Proteome-wide prediction of spontaneous protein deamidation highlights differences between taxa10
Integrated analyses of prognostic and immunotherapeutic significance of EZH2 in uveal melanoma10
LiteMamba-Bound: A lightweight Mamba-based model with boundary-aware and normalized active contour loss for skin lesion segmentation10
Protocol for a pilot study: Feasibility of a web-based platform to improve nutrition, mindfulness, and physical function in people living with Post COVID-19 condition (BLEND)10
Editorial Board10
Exploring drug-target interaction prediction on cold-start scenarios via meta-learning-based graph transformer10
0.061800003051758