imputation

Accurate multi-population imputation of MICA, MICB, HLA-E, HLA-F and HLA-G alleles from genome SNP data

The paper develops imputation models for non-classical HLA genes using SNP data, achieving high accuracy and providing accessible tools for research.

Parameter-free clear image deconvolution (CLID) technique for single-frame live-cell super-resolution imaging

This paper introduces CLID techniques for single-frame live-cell super-resolution imaging, achieving 65 nm resolution without complex parameters.

A semi-parametric multiple imputation method for high-sparse, high-dimensional, compositional data

The paper introduces a semi-parametric multiple imputation method for high-sparse, high-dimensional compositional data and demonstrates its benefits in simulation studies and a T2D dataset.

A scalable approach for genome-wide inference of ancestral recombination graphs

The paper introduces Threads, a method for efficiently inferring ancestral recombination graphs from large genomic datasets, improving imputation accuracy and trait association detection.

Generating realistic neurophysiological time series with denoising diffusion probabilistic models

This paper uses denoising diffusion probabilistic models to generate realistic neurophysiological time series, capturing both general and dataset-specific features across multiple species and recording modalities.

Broad bandwidth photoacoustic imaging using a PVDF receiver array

This paper demonstrates the use of a PVDF receiver array to improve the bandwidth of photoacoustic imaging, enabling better signal quality and integration with conventional ultrasound.

A Genomics England haplotype reference panel and the imputation of the UK Biobank

This paper builds a haplotype reference panel from Genomics England data and imputes UK Biobank data, revealing more rare variants and suggesting limitations in detecting rare variant associations with current sample sizes.

The eduWOSM: a benchtop advanced microscope for education and research

The paper introduces the eduWOSM, an open-source microscope for education and research, and benchmarks its performance with three imaging projects.

A deep generative model for capturing cell to phenotype relationships

The paper introduces milVI, a deep generative model that infers missing phenotype labels and connects cell-level data to donor-level phenotypes in single-cell studies.

scIDPMs: Single-cell RNA-seq imputation using diffusion probabilistic models

scIDPMs uses diffusion probabilistic models to impute missing gene expression values in scRNA-seq data, improving downstream analysis accuracy.

RF Channel-Based Adaptive Beamforming for 3D Ultrasound Localization Microscopy

This study applies adaptive beamforming techniques to improve 3D ultrasound localization microscopy resolution in vitro and in vivo.

BRACE: A novel Bayesian-based imputation approach for dimension reduction analysis of alternative splicing at single-cell resolution

BRACE improves imputation of alternative splicing data for single-cell dimension reduction analysis and applies it to diverse datasets.

Rapid and accurate genotype imputation from low coverage short read, long read, and cell free DNA sequence

QUILT2 enables accurate genotype imputation from low coverage short and long reads and cell-free DNA, improving GWAS and PRS for maternal and fetal genomes.

SmartImpute: A Targeted Imputation Framework for Single-cell Transcriptome Data

SmartImpute improves scRNA-seq imputation by targeting marker genes, enhancing accuracy and efficiency while reducing computational burden.

Reliable imputation of spatial transcriptome with uncertainty estimation and spatial regularization

This paper introduces TransImp, a model for imputing missing features in spatial transcriptomics with uncertainty estimation and spatial regularization, improving reliability in downstream analyses.

Censored Least Squares for Imputing Missing Values in PARAFAC Tensor Factorization

This study compares censored least squares to other methods for imputing missing values in tensor factorization of biological datasets, finding censored least squares to be more accurate and efficient.

Self-quenched fluorophore-DNA labels for super-resolution fluorescence microscopy

The paper introduces self-quenched fluorophore-DNA labels to reduce background signal in super-resolution microscopy, improving imaging performance in STED and SMLM.

SPRITE: improving spatial gene expression imputation with gene and cell networks

SPRITE improves spatial gene expression predictions by integrating gene networks and spatial relationships, enhancing clustering and classification in spatial transcriptomics data.

A handle on mass coincidence errors in de novo sequencing of antibodies by bottom-up proteomics

The paper improves the accuracy of antibody sequence reconstruction from bottom-up proteomics data by addressing mass coincidence errors in de novo sequencing.

Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning

This paper introduces a deep learning method for imputing missing values in label-free quantitative proteomics data and shows its effectiveness in identifying differentially abundant proteins in alcohol-related liver disease.

Targeted genotyping-by-sequencing of potato and data analysis with R/polyBreedR

The paper develops a mid-density targeted GBS assay for potato using DArTag technology and evaluates its performance with polyBreedR software for imputation and trait tracking.

PEPerMINT: Peptide Abundance Imputation in Mass Spectrometry-based Proteomics using Graph Neural Networks

PEPerMINT imputes missing peptide abundance values in proteomics using graph neural networks, outperforming existing methods across multiple datasets and missingness scenarios.

Hour-long, kilohertz sampling rate 3D single-virus tracking in live cells enabled by StayGold fluorescent protein fusions

This paper introduces StayGold fluorescent protein fusions to enable long-duration, high-speed 3D single-virus tracking in live cells.

Pencil Beam Based X-ray Luminescence Computed Tomography Imaging of Deep TargetsThree-dimensionally and Quantitatively

This paper introduces weighted filtered back projection (wFBP) for XLCT, enabling 3D quantitative imaging of deep targets with high spatial resolution and improved accuracy.

A resampling-based approach to share reference panels

The paper introduces RESHAPE, a method to anonymize reference panels by simulating descendant genomes, enabling genotype imputation while protecting privacy.

Maximizing photon utilization in spectroscopic single-molecule localization microscopy using symmetrically dispersed dual-wedge prisms

This paper introduces a symmetrically dispersed dual-wedge prism design for spectroscopic single-molecule localization microscopy, improving lateral and spectral precision.

Coumarin as a general switching auxiliary to prepare photochromic and spontaneously blinking fluorophores

This paper introduces a method to create photochromic and blinking fluorophores by combining rhodamine and coumarin dyes, enhancing SMLM labeling options.

Time-lapse Image Super-resolution Neural Network with Reliable Confidence Quantification for Optical Microscopy

This paper introduces a time-lapse image super-resolution neural network with confidence quantification for optical microscopy, improving temporal consistency and reliability.

Deep Imputation for Skeleton Data (DISK) for Behavioral Science

DISK uses deep learning to impute missing skeleton data in animal behavior studies, improving reliability and enabling more accurate motion analysis.

Flat-field superresolution structured illumination microscopy with joint temporal-spatial light modulation

This paper introduces a flat-field structured illumination microscopy method to improve field uniformity and enable large-scale imaging of whole cells and pathological samples.