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 2021-12-01 to 2025-12-01.)
ArticleCitations
RabbitQCPlus 2.0: More efficient and versatile quality control for sequencing data262
Predicting genes associated with ossification of the posterior longitudinal ligament using graph attention network137
Multi-omics data integration and drug screening of AML cancer using Generative Adversarial Network130
Interpretable thoracic pathologic prediction via learning group-disentangled representation129
Editorial Board103
An overview of extracellular field potentials: Different potentiation and measurable components, interpretations, and hippocampal synaptic activity models88
Pyrogallol-based dipodal optical probe as new smart analytical tool for sustainable detection of cobalt in biosystem85
Editorial Board82
Editorial Board82
Profiling cell-type specific gene expression in post-mortem human brain samples through laser capture microdissection80
On finding natural antibiotics based on TCM formulae78
In vivo detection of GPCR-dependent signaling using fiber photometry and FRET-based biosensors69
Development of novel digital PCR assays for the rapid quantification of Gram-negative bacteria biomarkers using RUCS algorithm68
Drug repurposing for identification of potential spike inhibitors for SARS-CoV-2 using molecular docking and molecular dynamics simulations68
LoopSage: An energy-based Monte Carlo approach for the loop extrusion modeling of chromatin65
Automatic ICD-10-CM coding via Lambda-Scaled attention based deep learning model61
A transformer-based multi-features fusion model for prediction of conversion in mild cognitive impairment60
FedMCC: Federated multi-center clustering algorithm to improve privacy healthcare60
Predicting drug-induced liver injury using graph attention mechanism and molecular fingerprints59
Non-canonical amino acids and protein dynamics55
Strategies for ocular drug delivery54
Isolation and culture of adult murine cardiac atrial and ventricular fibroblasts and myofibroblasts52
Breaking barrier of binding buffer in colorimetric aptasensing of tetracycline in food fish using peroxidase mimic gold NanoZyme50
Two minimally invasive strategies to implant guide cannulas for multiple injections in deep brain areas48
Electrochemical assay for the quantification of anticancer drugs and their inhibition mechanism47
Reconstruction of circular RNAs using Illumina and Nanopore RNA-seq datasets46
MRUNet-3D: A multi-stride residual 3D UNet for lung nodule segmentation45
Editorial Board39
Trans ligation of RNAs to generate hybrid circular RNAs using highly efficient autocatalytic transcripts38
PIF – A Java library for finding atomic interactions and extracting geometric features supporting the analysis of protein structures38
Synthesis of carbon nanotubes using pre-sintered oil fly ash via a reproducible process with large-scale potential37
Interpretable multimodal learning for tumor protein-metal binding: Progress, challenges, and perspectives36
iRNA-m5U: A sequence based predictor for identifying 5-methyluridine modification sites in Saccharomyces cerevisiae36
Clinical analysis of eye movement-based data in the medical diagnosis of amblyopia36
Synthetic PPR proteins as tools for sequence-specific targeting of RNA36
The performance of human cytomegalovirus digital PCR reference measurement procedure in seven external quality assessment schemes over four years36
Comprehensive evaluation of molecule property prediction with ChatGPT35
Development and validation of a stability-indicating HPLC method for assay of tonabersat in pharmaceutical formulations35
Advancing antisense oligonucleotide delivery through click chemistry based chemical conjugation with designed short non-cationic peptides for Duchenne muscular dystrophy34
DeepFusion: A deep learning based multi-scale feature fusion method for predicting drug-target interactions32
Atomic force microscope kymograph analysis: A case study of two membrane proteins32
MGDDI: A multi-scale graph neural networks for drug–drug interaction prediction31
Comparing performance of iterative and non-iterative algorithms on various feature schemes for arrhythmia analysis31
MRDFF: A deep forest based framework for CT whole heart segmentation31
Pseudouridine RNA modification detection and quantification by RT-PCR30
Deepm6A-MT: A deep learning-based method for identifying RNA N6-methyladenosine sites in multiple tissues29
Advanced glycation end products in musculoskeletal system and disorders29
MLm5C: A high-precision human RNA 5-methylcytosine sites predictor based on a combination of hybrid machine learning models29
Editorial Board28
Validation of combo ichroma as a reliable concentration-based alternative for AST and ALT measurement in liver disease monitoring28
Strategy for modeling higher-order G-quadruplex structures recalcitrant to NMR determination28
scGAAC: A graph attention autoencoder for clustering single-cell RNA-sequencing data28
Measuring functional similarity of lncRNAs based on variable K-mer profiles of nucleotide sequences27
Model-agnostic confidence measurement for aggregating multimodal ensemble models in automatic diagnostic systems26
Guest Editor’s Introduction: Optical methods for characterisation of biomolecules26
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 disease26
A brief review of RNA modification related database resources26
AntiT2DMP-Pred: Leveraging feature fusion and optimization for superior machine learning prediction of type 2 diabetes mellitus24
Novel approaches to biomarker discover24
Prediction of the transcription factor binding sites with meta-learning23
UGDAS: Unsupervised graph-network based denoiser for abstractive summarization in biomedical domain23
Editorial Board23
Hybrid manifold-deep convolutional neural network for sleep staging23
Characterization of targeted knock-in achieved via tandem paired nicking mediated by CRISPR/Cas9 nickases22
A heterogeneous graph transformer framework for accurate cancer driver gene prediction and downstream analysis22
Improving domain generalization performance for medical image segmentation via random feature augmentation22
COVID-19 lesion detection and segmentation–A deep learning method22
Prediction of cell-type-specific cohesin-mediated chromatin loops based on chromatin state21
Multi-view contrastive clustering for cancer subtyping using fully and weakly paired multi-omics data21
A federated learning method for real-time emotion state classification from multi-modal streaming21
Glaucoma screening using an attention-guided stereo ensemble network21
EpiHNet: Detecting epistasis by heterogeneous molecule network21
Identification of immunoregulatory peptides from gut microbiota modulating Epstein-Barr virus-induced gene 3 (EBI3) using a novel specific AlphaLISA™ assay21
MPFFPSDC: A multi-pooling feature fusion model for predicting synergistic drug combinations20
Microproteins transitioning into a new Phase: Defining the undefined20
MLFA-UNet: A multi-level feature assembly UNet for medical image segmentation20
Probing excited state 1Hα chemical shifts in intrinsically disordered proteins with a triple resonance-based CEST experiment: Application to a disorder-to-order switch20
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 study20
Recent progress in the analysis of protein deamidation using mass spectrometry20
Computational methods and strategies for combating COVID-1920
Chromatin image-driven modelling20
Baker’s yeast beta glucan supplementation was associated with an improved innate immune mRNA expression response after exercise19
Production, analysis, and safety assessment of a soil and plant-based natural material with microbiome- and immune-modulatory effects19
Corrigendum to “Decoding selective auditory attention with EEG using a transformer model” [Methods 204 (2022) 410–417]19
SGAE-MDA: Exploring the MiRNA-disease associations in herbal medicines based on semi-supervised graph autoencoder19
Modeling repeated self-reported outcome data: A continuous-time longitudinal Item Response Theory model19
Deciphering cellular heterogeneity: Breakthroughs and prospects of single-cell-level SERS analysis in precision medicine19
Biomedical event causal relation extraction with deep knowledge fusion and Roberta-based data augmentation19
Steric trapping strategy for studying the folding of helical membrane proteins18
Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors18
Inner leaflet cationic lipid increases nucleic acid loading independently of outer leaflet lipid charge in asymmetric liposomes18
Deep learning based method for predicting DNA N6-methyladenosine sites18
HI-CeFSpot: High-throughput Immune Cell FluoroSpot assay18
Identification of DNase I hypersensitive sites in the human genome by multiple sequence descriptors18
Single molecule methods for studying CRISPR Cas9-induced DNA unwinding17
Editorial Board17
Methods for recruiting endogenous and exogenous ADAR enzymes for site-specific RNA editing17
Convolutional autoencoder based on latent subspace projection for anomaly detection17
The semisynthesis of site-specifically modified histones and histone-based probes of chromatin-modifying enzymes17
Assessing the role of intrinsic disorder in RNA-binding protein function: hnRNP K as a case study17
CSSEC: An adaptive approach integrating consensus and specific self-expressive coefficients for multi-omics cancer subtyping16
A novel carboxyl polymer-modified upconversion luminescent nanoprobe for detection of prostate-specific antigen in the clinical gray zonebase by flow immunoassay strip16
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
Magic-angle spinning NMR spectral editing of polysaccharides in whole cells using the DREAM scheme16
Authentication of Panax notoginseng with high-efficiency Proofman-LMTIA technology16
CLCAP: Contrastive learning improves antigenicity prediction for influenza A virus using convolutional neural networks16
A dual-function fluorescence 'turn-on' probe that allows Zn (II) bioimaging and quantification of water in the organic solvent16
Novel RT-ddPCR assays for measuring the levels of subgenomic and genomic SARS-CoV-2 transcripts16
A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG16
ZeRPI: A graph neural network model for zero-shot prediction of RNA-protein interactions15
A comprehensive preanalytical protocol for fresh solid tumor biospecimens15
In silico identification of Histone Deacetylase inhibitors using Streamlined Masked Transformer-based Pretrained features15
The prognostic value of machine learning techniques versus cox regression model for head and neck cancer15
Methods for preparation of niosomes: A focus on thin-film hydration method15
Kinetics measurements of G-quadruplex binding and unfolding by helicases15
DRCNNTLe: A deep recurrent convolutional neural network with transfer learning through pre-trained embeddings for automated ICD coding15
Meta-IL4: An ensemble learning approach for IL-4-inducing peptide prediction15
Identification of adaptor proteins by incorporating deep learning and PSSM profiles15
Graph matching survey for medical imaging: On the way to deep learning14
Editorial Board14
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
m5c-iDeep: 5-Methylcytosine sites identification through deep learning14
Unveiling the pathogenicity of allosteric protein mutations via multifaceted feature ensembling14
Editorial Board14
Predicting miRNA-lncRNA interactions on plant datasets based on bipartite network embedding method14
A streamlined CRISPR workflow to introduce mutations and generate isogenic iPSCs for modeling amyotrophic lateral sclerosis14
HistoSPACE: Histology-inspired spatial transcriptome prediction and characterization engine14
MTGNN: Multi-Task Graph Neural Network based few-shot learning for disease similarity measurement14
Sensitivity-enhanced NMR 15N R1 and R1ρ relaxation experiments for the investigation of intrinsically disordered proteins at high magnetic fields14
Atrial-specific hiPSC-derived cardiomyocytes in drug discovery and disease modeling14
Signal and noise in circRNA translation14
Smartphone-based low-cost and rapid quantitative detection of urinary creatinine with the Tyndall effect14
Editorial Board14
An effective multi-task learning framework for drug repurposing based on graph representation learning13
SITP: A single cell bioinformatics analysis flow captures proteasome markers in the development of breast cancer13
Integrating a multi-omics strategy framework to screen potential targets in cognitive impairment-related epilepsy13
Quantitation of F-actin in cytoskeletal reorganization: Context, methodology and implications13
Editorial Board13
APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features13
Methods to study circRNA-protein interactions13
Design of a 1 × 4 micro-magnetic stimulation device and its targeted, coordinated regulation on LTP of Schaffer-CA1 in the hippocampus of rats13
PCR-generated DNA templates enable efficient, rapid, and cost-effective mRNA synthesis13
Carbon dots fluorescence can be used to distinguish isobaric peptide and to monitor protein oligomerization dynamics13
Current methodologies in studying chromatin and gene expression13
Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genome13
Resources for computational prediction of intrinsic disorder in proteins12
Accurate contactless sleep apnea detection framework with signal processing and machine learning methods12
Novel, standardized sample collection from the brain-nose interface12
Using synthetic genome readers/regulators to interrogate chromatin processes: A brief review12
Study of circular RNA translation using reporter systems in living cells12
SV-JIM, detailed pairwise structural variant calling using long-reads and genome assemblies12
HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties12
KbhbXG: A Machine learning architecture based on XGBoost for prediction of lysine β-Hydroxybutyrylation (Kbhb) modification sites12
Near-infrared fluorescent probe based on rhodamine derivative for detection of NADH in live cells12
Low friction hydrogel with diclofenac eluting ability for dry eye therapeutic contact lenses12
Quantitative profiling N1-methyladenosine (m1A) RNA methylation from Oxford nanopore direct RNA sequencing data12
Editorial Board12
Primary sequence-assisted prediction of m6A RNA methylation sites from Oxford nanopore direct RNA sequencing data12
A fluorescence turn “on-off” imaging probe for sequential detection of Al3+ and L-Cysteine in HeLa cells12
Efficient experimental method for purifying allergens from aqueous extracts12
Isothermal titration calorimetry and surface plasmon resonance methods to probe protein–protein interactions12
Enhancing RNA Delivery: Practical insights into NeoLNPTM transfection reagent11
Temperature-jump microscopy and interaction of Hsp70 heat shock protein with a client protein in vivo11
DTKGIN: Predicting drug-target interactions based on knowledge graph and intent graph11
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
Optimized CUT&Tag enables robust epigenome profiling in Schizosaccharomyces pombe11
Hexagonal image segmentation on spatially resolved transcriptomics11
Coffee – a ubiquitous substitute for uranyl acetate in staining of biological ultrathin sections for electron microscopy studies11
GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome11
3D printing of calcium doped Isomalt via custom-made Extruder: Facile approach for creating blood vascular like networks within tissue mimicking hydrogel matrix11
Facile green synthesis of ZnO-RGO nanocomposites with enhanced anticancer efficacy11
Deep Learning-Based construction of a Drug-Like compound database and its application in virtual screening of HsDHODH inhibitors11
Editorial Board11
NGOME-Lite: Proteome-wide prediction of spontaneous protein deamidation highlights differences between taxa10
Triazole-linked amidopyrene-tagged fluorometric probe for Au3+ ions and pH control aggregation-induced emission10
Metabolic insights from mass spectrometry imaging of biofilms: A perspective from model microorganisms10
MSO-GP: 3-D segmentation of large and complex conjoined tree structures10
LPI-IBWA: Predicting lncRNA-protein interactions based on an improved Bi-Random walk algorithm10
Corrigendum to “Smart biomaterials: From 3D printing to 4D bioprinting” [Methods 205 (2022) 191–199]10
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
Publisher’s note10
Prediction of coronary heart disease based on combined reinforcement multitask progressive time-series networks10
DNA building blocks for AFM tip functionalization: An easy, fast and stable strategy10
Determination of RNA-ligand interactions with the photoaffinity platform PEARL-seq10
Integrated analyses of prognostic and immunotherapeutic significance of EZH2 in uveal melanoma10
Editorial Board10
Exploring drug-target interaction prediction on cold-start scenarios via meta-learning-based graph transformer10
Multimodal contrastive representation learning for drug-target binding affinity prediction10
Fragile methods, fractured trust: rethinking scientific responsibility10
High resolution imaging of viruses: Scanning probe microscopy and related techniques10
GCHN-DTI: Predicting drug-target interactions by graph convolution on heterogeneous networks10
Guitar2: An improved version of the Guitar for sketching the transcriptomic view of RNA-related biological features10
Editorial Board10
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