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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Evaluating batch correcti" (30 stories)

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scMEDAL: interpretable single-cell transcriptomics analysis with batch effect visualization via deep mixed-effects autoencoder
Lead StoryNaturegeneral
Jun 2

scMEDAL: interpretable single-cell transcriptomics analysis with batch effect visualization via deep mixed-effects autoencoder

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0taTFvZEpsQjlKcnVIdVVXMDUtRE51Qzd4RE1XNWMxYkFsMTRmcXc1VjdjdXlxT0s3UGpkMWZRQ3BUZ1haUy1oXzAxdERJempxanN0em9xUnJqNVhVWjJZ?oc=5" target="_blank">scMEDAL: interpretable single-cell transcriptomics analysis with batch effect visualization via deep mixed-effects autoencoder</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Evaluating batch correcti"

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A unified framework for correcting batch effects and integrating multi-omics data | Scientific Reports
Natureworld

A unified framework for correcting batch effects and integrating multi-omics data | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5kRHBHZmZMbGc0cUFpamV1am1hRGxsZHdnUVBJQkFrdy1IRGx0U2ktMTNWRjIwSU9vSFdIUjN5NkVfeHNYeEpTcWQ5Nk9OZHFLLXV4SnhFZjhwc3FoNm9V?oc=5" target="_blank">A unified framework for correcting batch effects and integrating multi-omics data | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Composite quantile regression approach to batch effect correction in microbiome data
Frontiersgeneral

Composite quantile regression approach to batch effect correction in microbiome data

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxOek03X1M0ZE1kbEVObHQxWjhIeUphZVVzQlp0S3BMdUtLWk9NQktab2JqemVVbWJ4aHplMXByU2M3TzNVUU9PTWp3ZkFwNGVCZHFkZUUwWVpxRUlEY2x4Si1ZZ3Y3S0ZJUXBnZEYxVDVNWGV5b0hMRTlpTUJzMzl0VnhlY2hZOFBfcTN6TTNXQnZkamNM?oc=5" target="_blank">Composite quantile regression approach to batch effect correction in microbiome data</a>  <font color="#6f6f6f">Frontiers</font>

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Revealing a coherent cell-state landscape across single-cell datasets with CONCORD
Naturegeneral

Revealing a coherent cell-state landscape across single-cell datasets with CONCORD

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ySU93cHctMDl2SEFpWE1kcFgwa2p1WTgyVzVOMHFSQ1FfTmZkU0dxVVpLbFlLTU8xbDcyS1VFZU5YcG50blY1LTJBWHgwRF85RGNsYms2SXU5b09iMFUw?oc=5" target="_blank">Revealing a coherent cell-state landscape across single-cell datasets with CONCORD</a>  <font color="#6f6f6f">Nature</font>

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deepMNN: Deep Learning-Based Single-Cell RNA Sequencing Data Batch Correction Using Mutual Nearest Neighbors
Frontiersgeneral

deepMNN: Deep Learning-Based Single-Cell RNA Sequencing Data Batch Correction Using Mutual Nearest Neighbors

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxOVjBGb3ZEa3BSTmgyTkNCTmc4NU1pX2RodHNvWllfMlMybXlXZGZ6OVMycmdMYVc3Ml9qNlBjOWl4TEJ6U0ZGTDZjcVZyUWRMQ1IzMEwweWRCUEVjQzIxWTJGLTlkZjVGbEZBSDhGU3lTWjRTRTFYNjJveC1uSnIxQ2hvVW1WMmM1YUVoMHN3?oc=5" target="_blank">deepMNN: Deep Learning-Based Single-Cell RNA Sequencing Data Batch Correction Using Mutual Nearest Neighbors</a>  <font color="#6f6f6f">Frontiers</font>

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Protein-level batch-effect correction enhances robustness in MS-based proteomics
Naturegeneral

Protein-level batch-effect correction enhances robustness in MS-based proteomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9nNFdxQXdmUEJ5MElHTF85ckpvZjhwdnBkVENMNlV2bVlwcGl0NWR1cENiYjJzMk5zRGFueTZwck9raFdTYW9kc2F0aURFZHpjY0tlWG9UaUJQR3ctZWxF?oc=5" target="_blank">Protein-level batch-effect correction enhances robustness in MS-based proteomics</a>  <font color="#6f6f6f">Nature</font>

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Evaluating batch correction methods for image-based cell profiling
Naturegeneral

Evaluating batch correction methods for image-based cell profiling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE14eU9LMlVrTUswYWVpMjVhWWktblhVbVJYN1VXbktkSTV1SHdxRGhIZThTUEVQT0JEMDhIVGJRNWFxX1ZLYkFUdXNfY09xUGxHd3ZXWkwzRGJLSTVWWEZj?oc=5" target="_blank">Evaluating batch correction methods for image-based cell profiling</a>  <font color="#6f6f6f">Nature</font>

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Reference-informed evaluation of batch correction for single-cell omics data with overcorrection awareness
Naturegeneral

Reference-informed evaluation of batch correction for single-cell omics data with overcorrection awareness

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE92b2ZXbFRTTUhxUTVWNXNLc1ViSTNSQVpyeUNBMFRkaXF0eTVVeUdRWUN5TjljQ2ZQMkFXdmsybWJkUG9NcDN2TnJwQkdSdXFXeHF5NFRleXFCU3V3UmVZ?oc=5" target="_blank">Reference-informed evaluation of batch correction for single-cell omics data with overcorrection awareness</a>  <font color="#6f6f6f">Nature</font>

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Comparative analysis of batch correction methods for FDG PET/CT using metabolic radiogenomic data of lung cancer patients
Natureworld

Comparative analysis of batch correction methods for FDG PET/CT using metabolic radiogenomic data of lung cancer patients

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBYdnNfSURiZUtKRjhPWElsbFk4SFhXbThzUUthZ2RGTFhCR242OFlGa3FNUEFTMzRnb2ZZelVSUWtmcUFOeGR1ZUhLODlNMzBkSWdqNXpVRlR1Z0E1Nm1n?oc=5" target="_blank">Comparative analysis of batch correction methods for FDG PET/CT using metabolic radiogenomic data of lung cancer patients</a>  <font color="#6f6f6f">Nature</font>

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A test metric for assessing single-cell RNA-seq batch correction
Naturegeneral

A test metric for assessing single-cell RNA-seq batch correction

<a href="https://news.google.com/rss/articles/CBMiXkFVX3lxTE5FY0xJYWlDX2VCc1ppaTkxT0NXNDFkelRoNngwdk9BaGFfYU5DZXgtNFpFbGxZZTRxWnkxSU5qZzNFd3pTQ2VVcGNuamxwTzgyWU0xSDBSaFpEdThCeEE?oc=5" target="_blank">A test metric for assessing single-cell RNA-seq batch correction</a>  <font color="#6f6f6f">Nature</font>

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Triple-effect correction for Cell Painting data with contrastive and domain-adversarial learning
Naturetech

Triple-effect correction for Cell Painting data with contrastive and domain-adversarial learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9RLTNpSDd5WVVSY09YVnVRVDlIR1dKdFpTUmZ3VFNSWnBVVWN4RjM2TzBiS0ZEZ01kMGlMSi0zNEJPdTJjY2pzVk9IVnp3YzhiUU9wRDZJYTVPMEwzMzBz?oc=5" target="_blank">Triple-effect correction for Cell Painting data with contrastive and domain-adversarial learning</a>  <font color="#6f6f6f">Nature</font>

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The importance of batch sensitization in missing value imputation
Naturegeneral

The importance of batch sensitization in missing value imputation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0xaEVucDhlZXl0ZVNWQW1JbzFqS21mTzMtVkVwOUlGZFJmaVpFT0h5NUd3aVlfNEMyNVZIWkxxeDg5ZVhFOFRSX2oyX29zLU9PeDUtVHBGZkdxNXZfUlNj?oc=5" target="_blank">The importance of batch sensitization in missing value imputation</a>  <font color="#6f6f6f">Nature</font>

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Shortcomings of silhouette in single-cell integration benchmarking
Naturegeneral

Shortcomings of silhouette in single-cell integration benchmarking

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAyUU4yY0lJRWVKYWFteXphNDZJMUhlVFdESW5mbFVjSTlwRVpodEJhZTRIaXowOEtMazZTUG9UWXlYRUhaaUhmV1owNXBiTVltSXJyRmk4Z3ZSN2dZZ1Nz?oc=5" target="_blank">Shortcomings of silhouette in single-cell integration benchmarking</a>  <font color="#6f6f6f">Nature</font>

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Benchmarking atlas-level data integration in single-cell genomics
Naturegeneral

Benchmarking atlas-level data integration in single-cell genomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1fRWdLaXdxU1JRa3JDXy1zVVZESF9EaldEbFRKU05ISVkzUGpMX2NuVFVkb3poTWx6ek9ZQ0JYZlRhRGwtRFlXS21YbDRHQVFSRklqWS1BWnMySkVFSGRZ?oc=5" target="_blank">Benchmarking atlas-level data integration in single-cell genomics</a>  <font color="#6f6f6f">Nature</font>

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BERNN: Enhancing classification of Liquid Chromatography Mass Spectrometry data with batch effect removal neural networks
Naturegeneral

BERNN: Enhancing classification of Liquid Chromatography Mass Spectrometry data with batch effect removal neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9QS0JULTNTZkh5OGl6a00wZ1RqbTBmcEJXTkFXTl9YSnFIT2dMYmFZWmg2MEI5cTJEVE5oZnpOQU5HNFo0dThYUVFNR3JMcjF3QW43Q1VqZmpBTE9fMS1j?oc=5" target="_blank">BERNN: Enhancing classification of Liquid Chromatography Mass Spectrometry data with batch effect removal neural networks</a>  <font color="#6f6f6f">Nature</font>

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GTEx pro enables accurate multi-tissue gene expression analysis using robust normalization and batch correction
Naturegeneral

GTEx pro enables accurate multi-tissue gene expression analysis using robust normalization and batch correction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBjeHZaM3YxUXI1VFpsd1pfNzZMc2g5NjdUWXZGLUEyejNtUHRJeTVPOEZ2bG1LM1BsaGdTRzlUekRwSVpxNzdSWElKbF9kSGdPQ0NrS2wyRVJqMG44dkFz?oc=5" target="_blank">GTEx pro enables accurate multi-tissue gene expression analysis using robust normalization and batch correction</a>  <font color="#6f6f6f">Nature</font>

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Semi-supervised integration of single-cell transcriptomics data
Naturegeneral

Semi-supervised integration of single-cell transcriptomics data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1zY2tHZDdSdkZCYmdqUWFvMHdNak9vZzZiTDllOEJVN3p4OXFvZGl5UzhocUdPTHRnTVBWcjBEdmJOb1hySlVuZUFYMEJRZFdCS3VTaEJ6bHNabkx6UlJF?oc=5" target="_blank">Semi-supervised integration of single-cell transcriptomics data</a>  <font color="#6f6f6f">Nature</font>

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DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies
Naturepolitics

DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE50ZUdRMy1vQkRMbV9GcXVlWEdlNFVraWhLRWNkdTIzRTRoaGN3MVh0UjVIRVlsNTVSNUVSRUNaNnR1SGk5eU96eE1pVTF4Z194OEdENUJ4bm1vbEExLUxj?oc=5" target="_blank">DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies</a>  <font color="#6f6f6f">Nature</font>

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Partially characterized topology guides reliable anchor-free scRNA-integration
Naturegeneral

Partially characterized topology guides reliable anchor-free scRNA-integration

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5JYlFjbkRwZ1hkdDFFbWVWVmp4WUl5WWFuLWwwLTlKNUtCWDhkcENyWGtSRzJnd2g4WGtrWWJQbVNSazVNYnFQWWJUU0dzdFZKcFlmbm5KWVZwcFpLLUNZ?oc=5" target="_blank">Partially characterized topology guides reliable anchor-free scRNA-integration</a>  <font color="#6f6f6f">Nature</font>

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Multi-batch single-cell comparative atlas construction by deep learning disentanglement
Naturegeneral

Multi-batch single-cell comparative atlas construction by deep learning disentanglement

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBVdHlWU3VKbkpRUENSU1MydHdWWjZaYVlabV82U3lJLWJvMk45ZHR6a01GN2UxaUZVQlp4RFpyc1I0Z0NKTHVaVmRGREhPejRPVWhiLXBEdVhWM1dJNnVz?oc=5" target="_blank">Multi-batch single-cell comparative atlas construction by deep learning disentanglement</a>  <font color="#6f6f6f">Nature</font>

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Multitask benchmarking of single-cell multimodal omics integration methods
Naturegeneral

Multitask benchmarking of single-cell multimodal omics integration methods

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE00VF9sOS1Fd3JWbGxVZ3VVVjZpZXVISU8taXJSUTBjdWRIODhUVFB2LVllVjNHaFc4Smg1cHFOWnQxTHdqUU9hWkRIZHpiaDBzdmQ1MWhJem1HVjI2TEZv?oc=5" target="_blank">Multitask benchmarking of single-cell multimodal omics integration methods</a>  <font color="#6f6f6f">Nature</font>

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scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization
Naturetech

scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1VQ1NFdVZDZVVqM0NiQmVoU25pMG5DSUF4OGV6ZlVraDQ3ZERDSFgtSV8wTkFPdTVuWElCNm40dDk0Tmc5SHZLLTlBdFRrajJnVDRYbnBLci04alRvSXFj?oc=5" target="_blank">scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization</a>  <font color="#6f6f6f">Nature</font>

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Multivariate testing and effect size measures for batch effect evaluation in radiomic features
Naturegeneral

Multivariate testing and effect size measures for batch effect evaluation in radiomic features

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA3eW5rcUpoOU9fYlQtcFhqeGk1ak1ZcWFEbFllLUJTLWJiR2pEZE1XSEh0bERQcGR6aUlubjYwNnBDQ0RyaEtvTlBBdm1ubjNoM3N2T0FFX28tTUVqS3cw?oc=5" target="_blank">Multivariate testing and effect size measures for batch effect evaluation in radiomic features</a>  <font color="#6f6f6f">Nature</font>

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A Novel Statistical Method to Diagnose, Quantify and Correct Batch Effects in Genomic Studies
Naturegeneral

A Novel Statistical Method to Diagnose, Quantify and Correct Batch Effects in Genomic Studies

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBsbmRFVnd4UzhnSjlzMzl6QXhpa1NRRzNZaDVmczlHeE1fTXhPdTROTTA5Ml9OLW5kZGhtTE5sMTZic3lCVVAySWRxdGxGRTFzdWh2LWdiYTJEcHJKQXZZ?oc=5" target="_blank">A Novel Statistical Method to Diagnose, Quantify and Correct Batch Effects in Genomic Studies</a>  <font color="#6f6f6f">Nature</font>

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omicsGMF: a multi-tool for dimensionality reduction, batch correction and imputation in bulk- and single-cell proteomics
Naturegeneral

omicsGMF: a multi-tool for dimensionality reduction, batch correction and imputation in bulk- and single-cell proteomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5odldXYlFKbW9NMV9RSHdmU1Z0R3A3bzNWVF9IYTNBclFOekZERkVHZjVjWlNqSDBjcjFEcmY5azJadDhFRnhTXzVueTYzLW8yNVcwRVhuVEg5Ym96VUZF?oc=5" target="_blank">omicsGMF: a multi-tool for dimensionality reduction, batch correction and imputation in bulk- and single-cell proteomics</a>  <font color="#6f6f6f">Nature</font>

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High performance data integration for large-scale analyses of incomplete Omic profiles using Batch-Effect Reduction Trees (BERT)
Naturegeneral

High performance data integration for large-scale analyses of incomplete Omic profiles using Batch-Effect Reduction Trees (BERT)

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBrMlBENXJLaEhDWWg2b2w5Ni1ENnhIaXVzU2FVYlFVQUt4TzQ3Zzg1a0pDRE5TaEUtb3RVNDBCc1JYcUlteDdaNkRMaXRlMVFob2MyY2x4T3pNRlhLWDVV?oc=5" target="_blank">High performance data integration for large-scale analyses of incomplete Omic profiles using Batch-Effect Reduction Trees (BERT)</a>  <font color="#6f6f6f">Nature</font>

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Feature selection methods affect the performance of scRNA-seq data integration and querying
Naturepolitics

Feature selection methods affect the performance of scRNA-seq data integration and querying

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBianJId1V3MlVFTEFTNkFMU2JfSndiUE5UanlMaTVRVmlLRUpqQmwyZWRyTzQ0M0M1eXlST3FCNlFwY3VWcnZJSkJGLXlvd2NtSmJ2cUZLQ0dlREEzVERz?oc=5" target="_blank">Feature selection methods affect the performance of scRNA-seq data integration and querying</a>  <font color="#6f6f6f">Nature</font>

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Characterizing and mitigating protocol-dependent gene expression bias in 3′ and 5′ single-cell RNA sequencing
Frontiersgeneral

Characterizing and mitigating protocol-dependent gene expression bias in 3′ and 5′ single-cell RNA sequencing

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxNM2tkTzlyUXFVbnpuOGNvUjVfVE5fSXhqNzdXdEd2U3FQbmRCQlpMQzNhT0RRSFNsMks0Y3UzUlZqR0xJaUFzSnkxRXBYZ1k4WHZUZkUzUy1TbWN4WFpramV0YWV3Qm9ZeHVwcDVFNktPWGdkR0dnQl95QzRoRi0yclVrOUJsV1NHRFN1VDlBV2dvU2MtUHdn?oc=5" target="_blank">Characterizing and mitigating protocol-dependent gene expression bias in 3′ and 5′ single-cell RNA sequencing</a>  <font color="#6f6f6f">Frontiers</font>

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Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data
Naturegeneral

Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1vVGVTOTFLOGowdjZCSlZKM1d2OTNMdzR6bEUxbVJCbkFOUWZRRVJfUkFPWWRxdDBPX3RNb3NKQXI3LUdNOGt0dXc3ZGQzeU0zNFRnZzl5UWk2TmZ3aDZr?oc=5" target="_blank">Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data</a>  <font color="#6f6f6f">Nature</font>

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Batch alignment of single-cell transcriptomics data using deep metric learning
Naturegeneral

Batch alignment of single-cell transcriptomics data using deep metric learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1xV2VNVVdKeFJWaDdXdEdCOWhlS2R1SjB0ek02c29YeVhRbFJja1VGYXhEMHVuWHdoalBycWtPa1dLTndrX1R2ZkFBMUJEX0kwN0Y3MXZ4ZXk2cHZockd3?oc=5" target="_blank">Batch alignment of single-cell transcriptomics data using deep metric learning</a>  <font color="#6f6f6f">Nature</font>

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