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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Inferring cell differenti" (30 stories)

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Inferring stochastic dynamics by biophysical Neural ODE using single-cell transcriptomics
Lead StoryNaturegeneral
May 19

Inferring stochastic dynamics by biophysical Neural ODE using single-cell transcriptomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9MVHVkMHM0UktkXzVJdFlRWlliNTlVTGtBVXFLNndWd24tcHAzbTRUM3NySFJBYTNrVHRqZ3BWR0ZVYUFFZ2JNLXVIc3Q2bkhKR1FzTWJqeXpoSFNDbE9z?oc=5" target="_blank">Inferring stochastic dynamics by biophysical Neural ODE using single-cell transcriptomics</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Inferring cell differenti"

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29 stories displayed
Inferring differential dynamics from multi-lineage, multi-omic, and multi-sample single-cell data with MultiVeloVAE
Naturegeneral

Inferring differential dynamics from multi-lineage, multi-omic, and multi-sample single-cell data with MultiVeloVAE

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE00Wl9SR096MWZaVENwckdRRWhraHNwaTNPU3JOSzllNXFNLWpRMzZTRDI1SjJHd3hKa2VGMG9MMTZUdWhISGdzWVVEUWJuWVl5UzdreE9Bcm9kNTRQUU9V?oc=5" target="_blank">Inferring differential dynamics from multi-lineage, multi-omic, and multi-sample single-cell data with MultiVeloVAE</a>  <font color="#6f6f6f">Nature</font>

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Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis
Science | AAASgeneral

Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1lNmFpcXhSVllEODdCRWFHSjRrVHdVdGd3Q1NqdDg0bHY2ZkhaSExOMmxHbVMzQkN1bTRRMWFReUFiSzRUS0lEa2dFOWh1QWhWQ2N1VFBfY1A3bFY3V0F3?oc=5" target="_blank">Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis</a>  <font color="#6f6f6f">Science | AAAS</font>

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mist : a hierarchical Bayesian framework for detecting differential DNA methylation dynamics in single-cell data
Naturegeneral

mist : a hierarchical Bayesian framework for detecting differential DNA methylation dynamics in single-cell data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5kbHB4bGllOFRJWkJ0enBPNF9IemRld292dW1aSWw2LXVWd0RVMFE3blpKSnByTGp6Y2hjcHlXVlQ4UXJnUk1vREJLeXVtZEhSN2xWU28yQVo5a3dRRGdJ?oc=5" target="_blank">mist : a hierarchical Bayesian framework for detecting differential DNA methylation dynamics in single-cell data</a>  <font color="#6f6f6f">Nature</font>

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PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards
Science | AAAStech

PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9XN1V1bXJyZ2NKcS13clM5X0VUQU9mRGZremRmQ1AxekZjRzNnM1NqY0N2YWdjQjFIQnVSRzR2WjZKcF80dWV1aWt3TFFrcTFrTlA4TERuNjNLSm90cVJN?oc=5" target="_blank">PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards</a>  <font color="#6f6f6f">Science | AAAS</font>

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Advancing spatial cellular communication inference with ligand diffusion and transport model | Communications Biology
Natureworld

Advancing spatial cellular communication inference with ligand diffusion and transport model | Communications Biology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBGTG9YTXF3eGpZSE9vVU03U3Q3UWhPYURNUmxyZ0F1R1oxTUtmazRwSVVnVE5pcjRuMXZBcl9DM3RpRjU5WEg2ZENxU0pQM2JZc2FJYlluWGNHUDhjNGNF?oc=5" target="_blank">Advancing spatial cellular communication inference with ligand diffusion and transport model | Communications Biology</a>  <font color="#6f6f6f">Nature</font>

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A cell type and state specific gene regulation network inference method for immune regulatory analysis
Natureworld

A cell type and state specific gene regulation network inference method for immune regulatory analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03anFLaVUzbUFvUWgyS0doN2xCNHRMMHlpd3NEdjA2b01SV3laNWpJdG53NTJkMWdCMm80SWxDRmg0cVdOdmNKSG5NaXdTTnh2S3pQRTRxc1FSaDMySTk4?oc=5" target="_blank">A cell type and state specific gene regulation network inference method for immune regulatory analysis</a>  <font color="#6f6f6f">Nature</font>

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Uncovering candidate Nanog -Helper genes in early mouse embryo differentiation using differential entropy and network inference
Natureworld

Uncovering candidate Nanog -Helper genes in early mouse embryo differentiation using differential entropy and network inference

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBJWHNfYTRVR2FqemJId1J2WmFxblEwRzlaUWxJQzdVRlZkM0piVi1yMzVLWkRRRkdWMFZWbWppSnVlYXlUUUYtV0ZoTXE2dlF1QWJHV0MyMmFULXR4R3NJ?oc=5" target="_blank">Uncovering candidate Nanog -Helper genes in early mouse embryo differentiation using differential entropy and network inference</a>  <font color="#6f6f6f">Nature</font>

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scRDEN: single-cell dynamic gene rank differential expression network and robust trajectory inference
Naturegeneral

scRDEN: single-cell dynamic gene rank differential expression network and robust trajectory inference

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB4TTVYTDhjOWh5R0hnTzhEQmhpcHhsM3FVOUdkSWprWHlmaWlXYmpKbGtrZm1tNnVlbWZzT1JIczNOV1NfLTdTX2JuWnBXQ1JzX0RhNWlXWnM5cnNlUGdR?oc=5" target="_blank">scRDEN: single-cell dynamic gene rank differential expression network and robust trajectory inference</a>  <font color="#6f6f6f">Nature</font>

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Inference of cell-type composition and single-cell spatial maps from spatial transcriptomics data with SWOT
Naturegeneral

Inference of cell-type composition and single-cell spatial maps from spatial transcriptomics data with SWOT

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9TMC1ia25OZVduWXUzMm4zWjloMGVwWTlXMUl3OEZHSklBM2s3MDVNOUxpVGQ5bkxjenJsSHJMMlJSbXRwTlFrazVSaW01NWpyczVYejRlMU1IXzZyNG9R?oc=5" target="_blank">Inference of cell-type composition and single-cell spatial maps from spatial transcriptomics data with SWOT</a>  <font color="#6f6f6f">Nature</font>

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LIANA+ provides an all-in-one framework for cell–cell communication inference
Natureworld

LIANA+ provides an all-in-one framework for cell–cell communication inference

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9JRlZuRzlzRU5sUndpU3BKZ1NTTHkzVDRWR1JxS0J2X216M2wxQUdNeEo5ZTNVamYwbWpMa0h6S0pfU3JOUmZ6VGlBS0x0WXhHN3d4ZVk0UGtBYWNITHhr?oc=5" target="_blank">LIANA+ provides an all-in-one framework for cell–cell communication inference</a>  <font color="#6f6f6f">Nature</font>

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Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo
Naturegeneral

Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ydTBGa2x4R2dUdm5WME9YN1h1NVRlTzRKT0lwOUNaV1dOamhrRXpqY2wzbW9QeGV0dGtjNGJnaXBBclkyOWpkeUFFc0tocklMMlVqbXJ2dU1iaEMwSFRZ?oc=5" target="_blank">Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo</a>  <font color="#6f6f6f">Nature</font>

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Trajectory inference across multiple conditions with condiments
Naturegeneral

Trajectory inference across multiple conditions with condiments

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBocFVGQVh2dkhRNnA3WTdYYmRoTjVhYnMzeTVxOHV2eVhhMEtVbE5RVVZtSzdSYnBSdHdLZmdYcWlickZtS294NkN4UHlKT0o5ZjFNanFHY1ZXWkRiazQ4?oc=5" target="_blank">Trajectory inference across multiple conditions with condiments</a>  <font color="#6f6f6f">Nature</font>

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Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data
Naturegeneral

Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9rNUZHeDZGcFJBNzRBbVJnZThhVUNpcFdyRTdzTHZ2dmYweGgtc2VFLThUNXR4clYyTXlwV2dpV3hnOE84TlBlNGNoQ00zT29Sb1daTzY3d2Uyb3BwUWFB?oc=5" target="_blank">Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data</a>  <font color="#6f6f6f">Nature</font>

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A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples
Naturegeneral

A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03ZmI0ZDA4R2ZjcTJzbURYTS02a2VadWdqVEFtYzkycGNZNWk0VUYzVWVPNHFTRUlKbUozOVlzd1dMaXVlaWpCcUtZQU1VLW80RFpuVXFIUHh0WEhJSTM4?oc=5" target="_blank">A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples</a>  <font color="#6f6f6f">Nature</font>

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Inferring histology-associated gene expression gradients in spatial transcriptomic studies
Naturegeneral

Inferring histology-associated gene expression gradients in spatial transcriptomic studies

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9jYzEzS2dIYnR1OVU2aW1oRWtUZ01telB0MkdwT2pITFBBa24xRVpsOEp5T2R5aVU0d2Y5dGlaMWF4SHBoTTZkTnNaWHhmT2dNSnFsRlZaMEJDX0ctWWxj?oc=5" target="_blank">Inferring histology-associated gene expression gradients in spatial transcriptomic studies</a>  <font color="#6f6f6f">Nature</font>

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Generative models of cell dynamics: from Neural ODEs to flow matching | Communications Biology
Natureworld

Generative models of cell dynamics: from Neural ODEs to flow matching | Communications Biology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB1SXB6T3hTZndCQ0E5WndQall0ZkVuUVFYdlVyUk1nYWpaTndCbExGUmYwQ3BSQkl3NlZ2eC1Ud2VlZXVTeDcxLW9GX1dueWN2Smx0VUpxT3Jtc29Obkxj?oc=5" target="_blank">Generative models of cell dynamics: from Neural ODEs to flow matching | Communications Biology</a>  <font color="#6f6f6f">Nature</font>

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Cell-type-specific co-expression inference from single cell RNA-sequencing data
Naturegeneral

Cell-type-specific co-expression inference from single cell RNA-sequencing data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBUWXNMWlRrY2Q5YXdYaTVNNlpJVHpuM0hwN1V3cnY2eVJtYkVLZXVzZl9VNnVJZi1Jc0htM3dVZzllMzFzSVlJT282WUlYU1VyZ05iN3BldGsySjZPZ3Vr?oc=5" target="_blank">Cell-type-specific co-expression inference from single cell RNA-sequencing data</a>  <font color="#6f6f6f">Nature</font>

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Screening cell–cell communication in spatial transcriptomics via collective optimal transport
Natureworld

Screening cell–cell communication in spatial transcriptomics via collective optimal transport

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1lYXNaeWJMeDUwdTMtaVFMQkRnNjZtTmZxNW80c3I1elJyYTRMcDRhc0tBU29IQzZjVUJlbkJqX012TEtzRTZEQ3BFWVFCazh1R0pQNWFTZEpQNzJCRFlv?oc=5" target="_blank">Screening cell–cell communication in spatial transcriptomics via collective optimal transport</a>  <font color="#6f6f6f">Nature</font>

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MetaQ: fast, scalable and accurate metacell inference via single-cell quantization
Naturegeneral

MetaQ: fast, scalable and accurate metacell inference via single-cell quantization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5RTTNOb1kzY1ZJZ2ZHRlZYdFFHWGpEUlVPeTVJbU5vVlVtV1lFeGVmczk2bG05cVlSQ2l6NUNNcU5Ha3lMZ1d3N2IyRDJmeHBxWUIxRWMtUTk2NmZBNFJv?oc=5" target="_blank">MetaQ: fast, scalable and accurate metacell inference via single-cell quantization</a>  <font color="#6f6f6f">Nature</font>

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Inference and analysis of cell-cell communication using CellChat
Natureworld

Inference and analysis of cell-cell communication using CellChat

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAxYlhZRGdvazZsMjc0cjNTMFF4OHdYSUV1UUdlNHlSb3JzXzRNbkdwVldoT1d1UkJVV3dzbG5mUl9MS19FcXVqUkxSbjBvcFA2aUgzZmJGQjFmZ3lDRmM0?oc=5" target="_blank">Inference and analysis of cell-cell communication using CellChat</a>  <font color="#6f6f6f">Nature</font>

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Inferring single-cell and spatial microRNA activity from transcriptomics data
Naturegeneral

Inferring single-cell and spatial microRNA activity from transcriptomics data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBoNTN1VS1mcjJPOTR0WVcxZzl2dkJBTWVubHI3VW12UElscm1hVy12WFlkaWdubjhtV0pob1VnRlV5NjY3OERFMUJTYkFZeW0tNFdjT2ZIbnRETU9fXzZz?oc=5" target="_blank">Inferring single-cell and spatial microRNA activity from transcriptomics data</a>  <font color="#6f6f6f">Nature</font>

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Cell composition inference and identification of layer-specific spatial transcriptional profiles with POLARIS
Science | AAASgeneral

Cell composition inference and identification of layer-specific spatial transcriptional profiles with POLARIS

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1jXzZ6cE9iMEhlT19yVkN3VlpqaVQza212X054VnBzQ0NfTWVYdzVWVG95a3NDU0NkRmhHTkJMbUQ2NjZadmpDV0dhaGVHa2RFMHIxT3FFTGNlN0JhMThr?oc=5" target="_blank">Cell composition inference and identification of layer-specific spatial transcriptional profiles with POLARIS</a>  <font color="#6f6f6f">Science | AAAS</font>

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Epiregulon: Single-cell transcription factor activity inference to predict drug response and drivers of cell states
Naturegeneral

Epiregulon: Single-cell transcription factor activity inference to predict drug response and drivers of cell states

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1GclhaS0s2Nnpzelo2NzRsQnY3d2QzS0U0Q2t2WW93ZUQ5VVJPa1hUTkJmaERsWnd6MFBhMW9YV2JySFpKeTluN1pGSjFxeUNELW1QZzJGd1RKSHByTF9F?oc=5" target="_blank">Epiregulon: Single-cell transcription factor activity inference to predict drug response and drivers of cell states</a>  <font color="#6f6f6f">Nature</font>

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Cell-attribute aware community detection improves differential abundance testing from single-cell RNA-Seq data
Natureworld

Cell-attribute aware community detection improves differential abundance testing from single-cell RNA-Seq data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5hWHJLbXhGNE5kTXhBTG5QSWYxLUh0dlI5U3lSR3JOdVEyVTNmdS11SlNuS1Nrd1p5VGswQ1lBWnJ5RW9hblZEWnpTRlc0Y0w0cXQzNWdtX0d1VF9YSjZZ?oc=5" target="_blank">Cell-attribute aware community detection improves differential abundance testing from single-cell RNA-Seq data</a>  <font color="#6f6f6f">Nature</font>

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Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology
Naturegeneral

Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBQLW1ESm5ic2NPcnBnX0JleEM1ZDQwMlhNLTRmTmVXd21IZk5EWHdOWERBTDgzVU8wVGpXMWxob0lrQU9zRk1pSm5kbmdSOVRxR0VkSWo0LWV0T2VCZWhV?oc=5" target="_blank">Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology</a>  <font color="#6f6f6f">Nature</font>

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Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data
Naturegeneral

Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5QTHlNQVAyUVFNanhQY0tjZXNxU2xRX2MtSG9RYkU1Vi0wZHYyRkJFVTk3c205SGdXbnFkSnluZnZOM1F6SGlSMWNqZDV0T1gtQVd2TDl0QTlUeUNlOFZv?oc=5" target="_blank">Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data</a>  <font color="#6f6f6f">Nature</font>

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VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomics
Naturegeneral

VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBiQXdOOWNvSkJuRW9RYmVxV05RTHVSODIxNFRwQ0NkZVhGc2xiTU9jcXppdjZocDVjRklLck1RNHdvUWJGc19nX0Z4Ui01cHRuc1VaQUkzaEhWSUIySG9V?oc=5" target="_blank">VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomics</a>  <font color="#6f6f6f">Nature</font>

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Dissecting crosstalk induced by cell-cell communication using single-cell transcriptomic data
Natureworld

Dissecting crosstalk induced by cell-cell communication using single-cell transcriptomic data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE11OS1ZbGtreWF5NFZQMkkyS2I4V3BOZnUzanRWWURwWXpkeUI5VnU2cmVDdThfQmpEQzk2NDhIVjhldVkwQUJmNW1kdjl6N0tZRWlPeXpWN0QwaHlQRERn?oc=5" target="_blank">Dissecting crosstalk induced by cell-cell communication using single-cell transcriptomic data</a>  <font color="#6f6f6f">Nature</font>

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TIVelo: RNA velocity estimation leveraging cluster-level trajectory inference
Naturegeneral

TIVelo: RNA velocity estimation leveraging cluster-level trajectory inference

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBQNS1mUmQ5ZlplUFpRVDU4MDRmZ3gycnNGazk2WVduZmtmdFlJTDNuRTBWQllyM1FjeEZnbHhlbkFmc3NNR0tqODhwNjNTbWp4bDZqYVFsVi04ZDlObll3?oc=5" target="_blank">TIVelo: RNA velocity estimation leveraging cluster-level trajectory inference</a>  <font color="#6f6f6f">Nature</font>

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"Inferring cell differenti" — Live Google News Trends & Headlines