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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Interpreting single-cell" (30 stories)

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Scoring gene importance by interpreting single-cell foundation models
Lead StoryNatureworld
May 27

Scoring gene importance by interpreting single-cell foundation models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAxc3VxbVVFLTE1cEJ3eE1KdE5ZLTkxSWFXU1NfMUZOLWk5bG53ZzdZR0xDTXRoVEJ6WVNJNVhIc05SZTNlYk9LWDVia1huRG13cTNYWHhsczhmV1JCckJJ?oc=5" target="_blank">Scoring gene importance by interpreting single-cell foundation models</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Interpreting single-cell"

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29 stories displayed
Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation
Technology Networkstech

Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation

<a href="https://news.google.com/rss/articles/CBMi5AFBVV95cUxOTThtTEIxcmZFeFd3WHZKVkE2bG4wVGE1ZjVGWnlFU3I4d2VPck95bzczUWNmZGt1OXF6TFpBaWgyVE9pS1MzRzZKX202Vjc0ZjBScmpyekQ5XzdFT2hxSGFUdzV1MDF5MHhEWl82Tk02djVramdiQUV6NEROT3RRNVVKWmRlV2VwalpjcjN6X1A0dTNLNER0bWgxRHZqYUJCWTk5LTJ5clFnTWlHSzZkbG5tbWsxamx1cXRUZm1YYk1uR2pycFZLU1VRX19GUzRFdzEyUWpsVks2LWxSZXI1Nl94SUE?oc=5" target="_blank">Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation</a>  <font color="#6f6f6f">Technology Networks</font>

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Predicting and interpreting cell-type-specific drug responses in the small-data regime using inductive priors
Naturegeneral

Predicting and interpreting cell-type-specific drug responses in the small-data regime using inductive priors

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5NYl9RcnltUThyTXRybUlwZ3FmRGRLaXlMWjN4VHM4MC1uY01HSWNQNHBOV0NBeGpOWDZoT3QwVjJOLTJUYUtYWGlqcFVpZGFEazF2Q2FWTUJWSzd3ZVpj?oc=5" target="_blank">Predicting and interpreting cell-type-specific drug responses in the small-data regime using inductive priors</a>  <font color="#6f6f6f">Nature</font>

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Interpreting Pulmonary Hypertension Beyond Single Cells
American Heart Association Journalsgeneral

Interpreting Pulmonary Hypertension Beyond Single Cells

<a href="https://news.google.com/rss/articles/CBMicEFVX3lxTFA2MWplZDUwSHJzdG9CT19Vczh5bExoU1FZRFpldzZJUTk2WW9KbUpQTGFNS2dqZ0lkdU16Q015MGN5OWNiWVEzdnF0WTJjWVJKNlRxejBYazdtZHh4TGdDY1AxRExPMUY5emJCVlpESVk?oc=5" target="_blank">Interpreting Pulmonary Hypertension Beyond Single Cells</a>  <font color="#6f6f6f">American Heart Association Journals</font>

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Learning About Life—Cell by Cell
Yale School of Medicinegeneral

Learning About Life—Cell by Cell

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxQWU1rTFNyMklqbmNZYnRxcW9iTUNRWWZZY0xOTlpSeE80UnU3cDcxTTBEUVJqblVxcFhhR1I4ZXNxaEszOTM0VmpWUGJ6U05aZDFCZ2d1LWVTY1dac1BTUWN5NUI2Zm42UVVTY0pyaC1vX3NkMi16NVByejdhYzFaNzVidzdnQkdBZWZVc1N6MjN3ZzVx?oc=5" target="_blank">Learning About Life—Cell by Cell</a>  <font color="#6f6f6f">Yale School of Medicine</font>

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Beyond presence and frequency: a determinant-level framework for interpreting AMR dissemination in One Health surveillance
Frontiersscience

Beyond presence and frequency: a determinant-level framework for interpreting AMR dissemination in One Health surveillance

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxPYjc5VlZSSFo0UlFhVnYybUdJT0JSbDZZaTlvd3FtM3d5UGcwRGRmakNXakkzaG9HRlJaWnBZR1VCUFA3VlhTTHlwOFdWXzU1QlkyMXJrQjUtTWI4NEh3MUVmb2Npbk5LN01Kd0xHLTJNUXB1VTdlT1ZUWEt5NllXQUppMVZ6WTZ0anZQeE5ZQ293d1NhZE4w?oc=5" target="_blank">Beyond presence and frequency: a determinant-level framework for interpreting AMR dissemination in One Health surveillance</a>  <font color="#6f6f6f">Frontiers</font>

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Interpretation, extrapolation and perturbation of single cells
Naturegeneral

Interpretation, extrapolation and perturbation of single cells

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5HSmlydi1IcFpuSkpDdVhFQVV1VFFtWm1HcUhzMElNMkJ0Qm4zWEJ0MXpNVzBXTjdJcWRnbXJRb2xWV1NITE9mN2gxa1NQRzNzNWRrYS1rWjBqOGNiZEpn?oc=5" target="_blank">Interpretation, extrapolation and perturbation of single cells</a>  <font color="#6f6f6f">Nature</font>

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Interpreting Pulmonary Hypertension Beyond Single Cells
American Heart Association Journalsgeneral

Interpreting Pulmonary Hypertension Beyond Single Cells

<a href="https://news.google.com/rss/articles/CBMib0FVX3lxTE5zbnlmNEpwaHAyUDNtX2ZIcG40NmR1VDdiRHZiNmdUS0pMZE9LQ1N3eVYxU0JFRWVUWEQ2VHBEczhPQzFUaGtpZGtVQUV2WU9ybFB2VGFpeGNzb2FmT2ZibFRuSVkwREV6VC1ST0RXbw?oc=5" target="_blank">Interpreting Pulmonary Hypertension Beyond Single Cells</a>  <font color="#6f6f6f">American Heart Association Journals</font>

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From pathology to network failure: a Question–Model–Outcome framework for interpreting animal models of AD-related and dementia-relevant mechanisms
Frontierstech

From pathology to network failure: a Question–Model–Outcome framework for interpreting animal models of AD-related and dementia-relevant mechanisms

<a href="https://news.google.com/rss/articles/CBMinAFBVV95cUxOS3lUeFF4S3ZOLVI0U3dhWHRTQnhZSmMzRUFLa0VJSVY5SDNoVGd0ODluNWFzbGZEY3UwbzU3OXB2dy1YVHFSZmV3NmJ1R3NrenBCVEVZaFNFQzJiYmU3aFh6ZzA4UEctc0dWQmlzd3lEZlNOU0lrQmx3WHhXX3YtNjhYV1puVk95bGpvMlZKYzlrZ21lT2g3WlVmbk8?oc=5" target="_blank">From pathology to network failure: a Question–Model–Outcome framework for interpreting animal models of AD-related and dementia-relevant mechanisms</a>  <font color="#6f6f6f">Frontiers</font>

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Inferring spatial single-cell-level interactions through interpreting cell state and niche correlations learned by self-supervised graph transformer
Naturegeneral

Inferring spatial single-cell-level interactions through interpreting cell state and niche correlations learned by self-supervised graph transformer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1GeEJJYld0VXpsbTdMMHY0c1NuNUZRZlF0QWRXbElHOEVva1BYTE93MVZSdUdjblpPMS15RkJOTU8zMWdUVEJzeHdPNG9RU2QwRm04bjZ5UEMtSHdFVl84?oc=5" target="_blank">Inferring spatial single-cell-level interactions through interpreting cell state and niche correlations learned by self-supervised graph transformer</a>  <font color="#6f6f6f">Nature</font>

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Joint modeling of cellular heterogeneity and condition effects with scPCA in single-cell RNA-seq
Naturegeneral

Joint modeling of cellular heterogeneity and condition effects with scPCA in single-cell RNA-seq

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ySC1MUWl6WE0wRzdBbGVoa0s4Q0dudDlzNDlBcWk0dzhKbzh4ejU5bHdYVWdTMGZpZ2FuYW00T1VERXNzXzRjS3dZbkF2V2x3U3BxTldQZHdYLVRxcXBv?oc=5" target="_blank">Joint modeling of cellular heterogeneity and condition effects with scPCA in single-cell RNA-seq</a>  <font color="#6f6f6f">Nature</font>

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Fusion-subtype and single-cell analyses refine the interpretation of HDAC8 dependency in KMT2A-rearranged AML
Naturegeneral

Fusion-subtype and single-cell analyses refine the interpretation of HDAC8 dependency in KMT2A-rearranged AML

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBmc1NZOW4xTUx5VGE2T09Ua056TFVGd2JDS1VycmhRMjNsMGdUelRmVFdBZEszRnIwMWNfREJtNGlqdURRTUYwT3NWaG5TZ3FlbEpDa2MyYnlZaENYc0c4?oc=5" target="_blank">Fusion-subtype and single-cell analyses refine the interpretation of HDAC8 dependency in KMT2A-rearranged AML</a>  <font color="#6f6f6f">Nature</font>

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GraphTME: graph-based framework for predicting immunotherapy response by interpreting tumour microenvironment interactions using spatial transcriptomics
Natureworld

GraphTME: graph-based framework for predicting immunotherapy response by interpreting tumour microenvironment interactions using spatial transcriptomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1TQXlHNXp0dF8yLXBkb29zWVBabjlSY3puMEpIX1JZYVpPX2ZyV3dtREpWUzVaMzFPQU45ZVY5VERHV2RQdTZTYVB2VEJnV3FBWXk1SWtaVXhra3NaWUI0?oc=5" target="_blank">GraphTME: graph-based framework for predicting immunotherapy response by interpreting tumour microenvironment interactions using spatial transcriptomics</a>  <font color="#6f6f6f">Nature</font>

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Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN
Naturegeneral

Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9idm1iVVRkUk9QNmgzeC1xb2ptOWM5Q1RQSVNScy1LV2hrTndKVHdIY0FteGN4SVpraHVWS29JSVI5dXFRbXg2MmZNX0lHYUxiNmlweUw2X2NQZzlaQTRz?oc=5" target="_blank">Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN</a>  <font color="#6f6f6f">Nature</font>

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Interpreting single-cell and spatial omics data using deep neural network training dynamics
Naturetech

Interpreting single-cell and spatial omics data using deep neural network training dynamics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ENHRhYm14cU9nZS1pZlFRSGtXOWYyak85RUJhdFdna3hLU21nTXV5cTFjaEU4Q3hTWGc3N05mZi05cjYxUC1ybjl3LXQzYjQwejZ2cEpzQVMxT3VCakNn?oc=5" target="_blank">Interpreting single-cell and spatial omics data using deep neural network training dynamics</a>  <font color="#6f6f6f">Nature</font>

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Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA
Naturegeneral

Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1OaUV1TVZTNlRyQnlpNlBRcHhwLTloZW9jcVFNR2lkZHBlSHVOOGduTEVIaUlETW00RGppZFlwem8xSWxCSG9TTjJzZmw0Q1pTWm5Tb0ZMd3lYcHByMlZz?oc=5" target="_blank">Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA</a>  <font color="#6f6f6f">Nature</font>

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Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE
Naturegeneral

Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBoOTUtLXE1WFBGTE1obkthUTZGQ0o1aFlnMnRQZEpwcjlnS3M2ektlX0Z2WWVFenNLcmpHQ2Fhd0NKc3VpNFM3MkJmbkZQNTF6OXd4NTlhajJxWHN6TDE0?oc=5" target="_blank">Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE</a>  <font color="#6f6f6f">Nature</font>

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Functional interpretation of single cell similarity maps
Natureworld

Functional interpretation of single cell similarity maps

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03QllxTkltMGJES0E5NUxfRkwtTEJvejdMVlRUbFpMVXBUZFFGN1F0OXhaeWMtSDdIV3UxUkhIdjdkYnlzY1ZXODB3X1I0REZtS1kyN01NdFhDR3JoQi1j?oc=5" target="_blank">Functional interpretation of single cell similarity maps</a>  <font color="#6f6f6f">Nature</font>

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Interpreting non-coding disease-associated human variants using single-cell epigenomics
Naturegeneral

Interpreting non-coding disease-associated human variants using single-cell epigenomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5aRkttSTJlSUpNVm9uNkdZdlFVd2I3ZTNlWEdTWTh1elVVTkZycHVjN3pueTAtdzZLYjBtYjR6MmpxQnYzb3Q2S2Z5S3V4WUE3SEFZUUxNNDItRGZnNmNR?oc=5" target="_blank">Interpreting non-coding disease-associated human variants using single-cell epigenomics</a>  <font color="#6f6f6f">Nature</font>

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Interpretable single-cell factor decomposition using sciRED
Naturegeneral

Interpretable single-cell factor decomposition using sciRED

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9DbjRlX1dmZHVtSTJxOHF2Q0UtQUxFb3VidklTY3pJZGo4TlRMSDZNY1ZDNV92cHVQcXpsRkJkQ2ltREs0Ti1PWEFLcGtOcF9PcGRpQmc2LTZ1LXNpM1pR?oc=5" target="_blank">Interpretable single-cell factor decomposition using sciRED</a>  <font color="#6f6f6f">Nature</font>

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Interpreting the B-cell receptor repertoire with single-cell gene expression using Benisse
Naturegeneral

Interpreting the B-cell receptor repertoire with single-cell gene expression using Benisse

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBSbHZJN3k0Q2RUb3NFWjJoYi11Znh6NTBvRmFmOFl5VVJMTGhLa3NwM0w4U05IRVhvckhKXzh5MnNtR2dXU3ZvbUczWGVlenVHSV9qMzExQXB3TFM2Rlo0?oc=5" target="_blank">Interpreting the B-cell receptor repertoire with single-cell gene expression using Benisse</a>  <font color="#6f6f6f">Nature</font>

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Interpretation of T cell states from single-cell transcriptomics data using reference atlases
Naturegeneral

Interpretation of T cell states from single-cell transcriptomics data using reference atlases

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5TWEFCMGRVQVhUa0paTWtpUW9hQW5wVzEzbFZScl95TlItbkJaRGd0eDdrR0ZmNjY2NEpaNWwwT1FxeUQwa0ZXYklIWnRUZ1dic3JyclpZM19JNFBreFdr?oc=5" target="_blank">Interpretation of T cell states from single-cell transcriptomics data using reference atlases</a>  <font color="#6f6f6f">Nature</font>

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KnowYourCG: Facilitating base-level sparse methylome interpretation
Science | AAASgeneral

KnowYourCG: Facilitating base-level sparse methylome interpretation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5xbklUTFVqN3RaQzMyakk0N3FHcXpieU1wc1cyZ2NkTGt5dGU0NWthSThQNWFqSHFNZlk1QUlSek5xRFVxRm5Jc3JTZEd0N2ktUUFmTmlsS3d3Q21PZktj?oc=5" target="_blank">KnowYourCG: Facilitating base-level sparse methylome interpretation</a>  <font color="#6f6f6f">Science | AAAS</font>

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Multimodal learning enables chat-based exploration of single-cell data
Naturegeneral

Multimodal learning enables chat-based exploration of single-cell data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE45WHNXOXFjYy1FZXdVY1VjRWlURnRKV2NEdG16U0NFR1FWWnd5OE9XLVRZTmtZZW9zcXVfOWcybVhkdnBlWk8xZXRYdUxaY1F1VlVDWjh6ekVFbDZKaW5N?oc=5" target="_blank">Multimodal learning enables chat-based exploration of single-cell data</a>  <font color="#6f6f6f">Nature</font>

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Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction
Naturegeneral

Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9qWmhCSURQSjg2TkptM2wyR291SWJsRHdfOHBPRHBqSGM4TktZVE5yR1N3d19rUU14MEI0bDRZOTJ0RXJOZEtEdl9LeWswNm5ZMjZxQmRhdXNycmhHVXJz?oc=5" target="_blank">Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction</a>  <font color="#6f6f6f">Nature</font>

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Distribution-Agnostic Deep Learning Enables Accurate Single-Cell Data Recovery and Transcriptional Regulation Interpretation
Wiley & Sonsgeneral

Distribution-Agnostic Deep Learning Enables Accurate Single-Cell Data Recovery and Transcriptional Regulation Interpretation

<a href="https://news.google.com/rss/articles/CBMidkFVX3lxTE1xY2FzRDBrbnB5TkFMemdQalBlaGpidndid0ZfdXpIZF95dnFqV1p6WjRDU3I0d3FqV1RGZEZfUkpKQlNSbFFKX2ZCUEdBY2JiWjhETWNyX1cwZ0E0VVRUNWNGQ2RGVEhQS2FFdnBrNjFmMTFvQnc?oc=5" target="_blank">Distribution-Agnostic Deep Learning Enables Accurate Single-Cell Data Recovery and Transcriptional Regulation Interpretation</a>  <font color="#6f6f6f">Wiley & Sons</font>

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Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease
Naturescience

Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1wbHdtakhUQy1WcGg4aXR5eVNQUjZUNFV5Ql81WDB4MFBHOUZ0aWxrQ3JQY2FDa2JtRDJtenZZYnJNenpodTNLTVVNYlF0MTh3ZVd6Wmtwd0ROM2xrMjlF?oc=5" target="_blank">Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease</a>  <font color="#6f6f6f">Nature</font>

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A systematic overview of single-cell transcriptomics databases, their use cases, and limitations
Frontiersgeneral

A systematic overview of single-cell transcriptomics databases, their use cases, and limitations

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxQRzZTc1RVWmhPQy01TFcxSzYxQmJJbEoyYXpOcE1iYmU4NEdUS2o4Q0NsVmJaZnM3SVVlTzJQamtLVUE1WTNzby1qekdSLVdkbHJ5MmhEcnlWZ213akctZGliLXFiX284Ymo2UGNuVmZDeU1FZEJmdnd3ZUNJbWZpVkZvOEdUN1EwYnZIMWxMdWJkUjk2QmhJ?oc=5" target="_blank">A systematic overview of single-cell transcriptomics databases, their use cases, and limitations</a>  <font color="#6f6f6f">Frontiers</font>

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Interpretable and integrative analysis of single-cell multiomics with scMKL | Communications Biology
Natureworld

Interpretable and integrative analysis of single-cell multiomics with scMKL | Communications Biology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1sM0tYSkR3WGFJS18yV0ZaS2hpcVhSTjBqTThLWHdjX0FwWHJRcndhVzg1VWpJek9GbEFvcFZ5MHRRT0ZIcHM3a3ZnbHdtczc2RzRCTDd4eVYyem1VbkNv?oc=5" target="_blank">Interpretable and integrative analysis of single-cell multiomics with scMKL | Communications Biology</a>  <font color="#6f6f6f">Nature</font>

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CellMemory: hierarchical interpretation of out-of-distribution cells using bottlenecked transformer
Springer Nature Linkgeneral

CellMemory: hierarchical interpretation of out-of-distribution cells using bottlenecked transformer

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTE1Zc2oyWnJHTmlnS0NGbVJOSEJHLTdHRDVlak92bVRpa01VcTYwZ3pzS0ZUYmJINjE0bFMzajRFdHpXdXBuQ0ZYOEE0THYydGJPbGhZLW5rSGZ4X0ZuWlJPQmlUMks2ZEU0WWdicQ?oc=5" target="_blank">CellMemory: hierarchical interpretation of out-of-distribution cells using bottlenecked transformer</a>  <font color="#6f6f6f">Springer Nature Link</font>

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"Interpreting single-cell" — Live Google News Trends & Headlines