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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Deciphering cell states a" (30 stories)

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Understanding drug resistance in chronic myeloid leukemia through the lens of leukemic stem cell states: insights from single-cell analyses
Lead StoryHaematologicaworld
Apr 9

Understanding drug resistance in chronic myeloid leukemia through the lens of leukemic stem cell states: insights from single-cell analyses

<a href="https://news.google.com/rss/articles/CBMiV0FVX3lxTE9Kb0pUd2Uza0xnVGRSRHZVQjlqUkJob01SSTJvOS1ORl9GOGlsSkFDRlFWT0d1bDUtWTd1b3pENWd1T2FEQ3JxUXRnM3Vyd3Z0TG9ScEJqbw?oc=5" target="_blank">Understanding drug resistance in chronic myeloid leukemia through the lens of leukemic stem cell states: insights from single-cell analyses</a>  <font color="#6f6f6f">Haematologica</font>

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Search Results for "Deciphering cell states a"

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29 stories displayed
Deciphering cell states and genealogies of human haematopoiesis
Naturegeneral

Deciphering cell states and genealogies of human haematopoiesis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1tOV8wQlU1QkFyQmpTZl81QlVVME1BUkY2dXhFRzNxb1ljTUtUVU5yRHZhUEhrd0lzTXRKbERlaXV2bFk1QzRvRHpSLUNOV3pBY1Q2aVVBWlhmSFotS3gw?oc=5" target="_blank">Deciphering cell states and genealogies of human haematopoiesis</a>  <font color="#6f6f6f">Nature</font>

With NIH Funding, Pawel Przytycki Seeks to Decode Cell State Progression
Boston Universityworld

With NIH Funding, Pawel Przytycki Seeks to Decode Cell State Progression

<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTE9mWmVsSElIWF94UE03TW1icGh5VTRzUWZxemJlWC1GeFUwTlFBZUdXaGIwNXNGVTF1QXBjb0xQUkdSZTF5Ti00dzlEdDFKSjRjakdxRUdKdjJaVk9Oemh6VFpUbG9MQVpiektDeVdOUlF4dmk1OFp4aFFMelM?oc=5" target="_blank">With NIH Funding, Pawel Przytycki Seeks to Decode Cell State Progression</a>  <font color="#6f6f6f">Boston University</font>

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>

Decoding sequence determinants of gene expression in diverse cellular and disease states
Naturegeneral

Decoding sequence determinants of gene expression in diverse cellular and disease states

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9DUFFtMFV4V2ZwaTZ5RzNpUjNpRUtob2dKM0hfT0dHQVk5SlFzd2w3TFluX3cwTjVZMmFFNkxkT3BsZzFlMUJLWGN1d201Ulp0ejhSNW9iTHdIZjNwVXVN?oc=5" target="_blank">Decoding sequence determinants of gene expression in diverse cellular and disease states</a>  <font color="#6f6f6f">Nature</font>

Deciphering cell-fate trajectories using spatiotemporal single-cell transcriptomic data
Naturegeneral

Deciphering cell-fate trajectories using spatiotemporal single-cell transcriptomic data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE04dlBtLTNGWkhPcnpnOTZWakhwamZLU0pFdV9FT3pjbWFzOHBTcEFwQlFQOE1QZmx2VUhoUGkwcFR0RGpGdFNwYU92WGxhaHF1TmxTVGRSX0Z1VExHSnhN?oc=5" target="_blank">Deciphering cell-fate trajectories using spatiotemporal single-cell transcriptomic data</a>  <font color="#6f6f6f">Nature</font>

Decoding cell state transitions driven by dynamic cell–cell communication in spatial transcriptomics
Natureworld

Decoding cell state transitions driven by dynamic cell–cell communication in spatial transcriptomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1seFp4Y1RObkNmckpPWUhJSjZYYlJfSUpEYzYxbTRYUVZTRWp6dFZ2YkN0d2NwRjFuSkpuVVNYeGNiV04yaWhXZE9SSXl5OWZtNERERFA1Uk5OSEEybk9B?oc=5" target="_blank">Decoding cell state transitions driven by dynamic cell–cell communication in spatial transcriptomics</a>  <font color="#6f6f6f">Nature</font>

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>

Decoding cellular population dynamics through mechanistic modelling and statistical data analysis
Naturegeneral

Decoding cellular population dynamics through mechanistic modelling and statistical data analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1iUWpHRnNJQkp3V2NCUnZzc1NfWVVfekF6N1BmdGhZWExjalVmZEVsSWJ0WlhKTGNEaEpZQkl3TXRBUXljalJUZkRheVdJOUROS2lFWjNKOEtLeENxb0Rr?oc=5" target="_blank">Decoding cellular population dynamics through mechanistic modelling and statistical data analysis</a>  <font color="#6f6f6f">Nature</font>

Mapping cell–cell communication networks onto cell-state transition trajectories via a dynamic model
Natureworld

Mapping cell–cell communication networks onto cell-state transition trajectories via a dynamic model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA3US1NZVRzemJxaWQzR1lMQjBKancyVndQc0pkR0picWtGdXQzQXVCbDJ5Z1pXazlBbTN0TFdKcEdWVkdEd0FwTVQyNmRpWWdBQnZwMUVHZ2kyNGdsaEFn?oc=5" target="_blank">Mapping cell–cell communication networks onto cell-state transition trajectories via a dynamic model</a>  <font color="#6f6f6f">Nature</font>

DECODE: deep learning-based common deconvolution framework for various omics data
Naturegeneral

DECODE: deep learning-based common deconvolution framework for various omics data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBwMXEwVEpjcmRWSkxXZU5wZUlxWTBCTk9YYkJiazRpbGQ0VzFEV1JGaW5nSUlwcTQxNjcyTkJaQXFxTXhEWHNvTmgzcFRXakF1TjQybGp5NHRuUnllYTVF?oc=5" target="_blank">DECODE: deep learning-based common deconvolution framework for various omics data</a>  <font color="#6f6f6f">Nature</font>

Motif-based models accurately predict cell type-specific distal regulatory elements
Naturegeneral

Motif-based models accurately predict cell type-specific distal regulatory elements

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4ySlhYdVMtaDhlQUZGRWxWSVpnZ2Vmbzd6TUJvRjlYQ1ZFcmtWQjVKaDVTYW5ZRXJxMUc1U0ZPQjlOenM0aml1S3NEbkFlVDVZajBLaVlUSXlXTVVORjl3?oc=5" target="_blank">Motif-based models accurately predict cell type-specific distal regulatory elements</a>  <font color="#6f6f6f">Nature</font>

Deciphering splicing heterogeneity at single-cell resolution by SCSES
Naturegeneral

Deciphering splicing heterogeneity at single-cell resolution by SCSES

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE40cDJrMkdnLWMzVURJXzR5M2RvMENXa1A0SWJRdlVleGIzWGNtYk1XNkctblVCQXI1RTlJVjdxOUZPOXY1YmMtcVdNa1RKQ3hGYjc3WW9tajRiYTc5V05Z?oc=5" target="_blank">Deciphering splicing heterogeneity at single-cell resolution by SCSES</a>  <font color="#6f6f6f">Nature</font>

Deciphering the longitudinal trajectories of glioblastoma ecosystems by integrative single-cell genomics
Naturegeneral

Deciphering the longitudinal trajectories of glioblastoma ecosystems by integrative single-cell genomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9VS0lfUU5mMWNuSmhfSmNtbnJjYkRCOXUxcndnR0cxYjN0bmY1SHlHUnJiMFJRM1dydTBEcGRMQW1YbDNjaWlfN2dISWhjUHB1RFF6VHc1VkQwQWptWlgw?oc=5" target="_blank">Deciphering the longitudinal trajectories of glioblastoma ecosystems by integrative single-cell genomics</a>  <font color="#6f6f6f">Nature</font>

Deciphering state-dependent immune features from multi-layer omics data at single-cell resolution
Natureworld

Deciphering state-dependent immune features from multi-layer omics data at single-cell resolution

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9rak0xR0ZTRndRWVhEQURsbkdjZVZSTXh6bGFhQXp3bmNDMTgyNDJSMFFrMThieVNkbGVlX0FVZGJvMXp2VC1XVFBybEVQa0x4LVg5MGhFZUpCMDNITU1n?oc=5" target="_blank">Deciphering state-dependent immune features from multi-layer omics data at single-cell resolution</a>  <font color="#6f6f6f">Nature</font>

Illuminating cell states by a comprehensive and interpretable single cell foundation model
Natureworld

Illuminating cell states by a comprehensive and interpretable single cell foundation model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBqeDBwS2RneDJMcS1fY1JGWkxud2JLQmMtbkN4eW1TYmxQendaOXZGWE9YY01EeHdOMTMyZHZnckJpOXpubWNBLU53Q0lScnNpU056dU1ENnhiZ3RvTGhj?oc=5" target="_blank">Illuminating cell states by a comprehensive and interpretable single cell foundation model</a>  <font color="#6f6f6f">Nature</font>

A deep generative model for deciphering cellular dynamics and in silico drug discovery in complex diseases
Naturegeneral

A deep generative model for deciphering cellular dynamics and in silico drug discovery in complex diseases

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE81RnVyWXlrMXN6Sng1VXk2UzZfeG1vZFpTZ3pXemE0N29UVE9INGNQeWt2aFpaVkMxNkUzU1pUMXRiLTJXaVhCb3JQSXdBOEtITzA5dnE5eUhwZnNrSXRZ?oc=5" target="_blank">A deep generative model for deciphering cellular dynamics and in silico drug discovery in complex diseases</a>  <font color="#6f6f6f">Nature</font>

Decoding heterogeneous single-cell perturbation responses
Naturegeneral

Decoding heterogeneous single-cell perturbation responses

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5KQWhhQ2gwcXk2cmJ1Yk9pd2JmZ2lGanh2c3dJYlZ5ODFGX2VHOEZBcmN5d29RQTI0aGNNc2JjZXBmV0c1QW5wcG9PMjNTYVdRcllnVXJYVnRENWtMeU1j?oc=5" target="_blank">Decoding heterogeneous single-cell perturbation responses</a>  <font color="#6f6f6f">Nature</font>

Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network
Natureworld

Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1mOS1MbzhzZWo2aXc1aWg2ZmEtUm5OdmY3aHIzd0NuWlZSaGpoS1BiS1lKZGUtMnJxd0g5WjdGSG43U1dHZ1RBWlZwTjdfeldiVkZ2b1duYmlnVlhsTVRF?oc=5" target="_blank">Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network</a>  <font color="#6f6f6f">Nature</font>

Understanding rheumatic disease through continuous cell state analysis
Natureworld

Understanding rheumatic disease through continuous cell state analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1fWmtSWDFwNzJNVGNvZHRmdnVsQkJNa1VvWFdOazdJU3B2X1hVWnczRTZCSWFOUG80Y0ZJbVFOVG52WWIzWmoxSThXV2ZBVDB2U3Q4VnB4VUw2V0EzUHBj?oc=5" target="_blank">Understanding rheumatic disease through continuous cell state analysis</a>  <font color="#6f6f6f">Nature</font>

CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold
Naturegeneral

CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ObUIyaHQ5U003LVJ4ellBTEp6NE9QekFpWE5ZTWpDM3RTVm5WbEVOc3YwMVJhaXlIWXVJNGQ2dE02ME9yU09DaGp0R2RGcUZFRC1pQ3ZFRnpGR2liRWQw?oc=5" target="_blank">CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold</a>  <font color="#6f6f6f">Nature</font>

Deciphering the effect of UM171 on human hematopoietic progenitor cell fate through clonal analysis
Naturegeneral

Deciphering the effect of UM171 on human hematopoietic progenitor cell fate through clonal analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9DNEw0QWI1WDNQcXBxeHZPdEwxQnYzQU5KZ1pxTDR0TnBEOWYzTUhkTVBCMGZLRGt6c0JLSU4tV0txVjZhcEJGRms1Q0lFV2VESnhGYzhyTGloTnhkUVhj?oc=5" target="_blank">Deciphering the effect of UM171 on human hematopoietic progenitor cell fate through clonal analysis</a>  <font color="#6f6f6f">Nature</font>

Deciphering microenvironmental heterogeneity by scalable Niche Guided Module Discovery
Naturegeneral

Deciphering microenvironmental heterogeneity by scalable Niche Guided Module Discovery

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1HSkxIVHZxazZ5WWoyamd5RURydktsSkc2UTFqWjAxd1Q0YjhjYzJwVmlLV2ZxY3RyQkxqV2pfV2pXdUYyc2Q0QTgwU081dTRRY2NQdzdKOERfLUZsYW1r?oc=5" target="_blank">Deciphering microenvironmental heterogeneity by scalable Niche Guided Module Discovery</a>  <font color="#6f6f6f">Nature</font>

Single-Cell Studies Advance Understanding of the Genetic and Molecular Basis of Atherosclerosis
American Heart Association Journalsworld

Single-Cell Studies Advance Understanding of the Genetic and Molecular Basis of Atherosclerosis

<a href="https://news.google.com/rss/articles/CBMibkFVX3lxTFBpOXcwMnVRWDRjV3dPSTZ6OUhuZC1faHNWUzlZZzNGZWhHRUFWakdrWS1jRmNZcFFDV2U2VDJVV0k5cjBLNTVONlljR0tDQ2xvV1lxVzBLelBBcmt3RXJFMmZWVzd1dTJmTWFQaEJB?oc=5" target="_blank">Single-Cell Studies Advance Understanding of the Genetic and Molecular Basis of Atherosclerosis</a>  <font color="#6f6f6f">American Heart Association Journals</font>

Deciphering driver regulators of cell fate decisions from single-cell transcriptomics data with CEFCON
Naturegeneral

Deciphering driver regulators of cell fate decisions from single-cell transcriptomics data with CEFCON

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ZRXFwZ0pLbHk4aVZqbFpYRzZqWkd3dm5vVTdnbXhzT3ZVLTBtYTRGaUhtYlYyNEN5dk5zcWt4QV9HUzBlYmNLbm9pLUxGbHZOODk2RWpfbVJNajZ5OUtN?oc=5" target="_blank">Deciphering driver regulators of cell fate decisions from single-cell transcriptomics data with CEFCON</a>  <font color="#6f6f6f">Nature</font>

Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease
Naturetech

Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ON3NscjhGY0h5dEFON0V5czc5c0wtaG9sQUNmQWN3MTl3Szc0bHEtb1ZaN0dDSzVjR004aGZiSFR5YTUxV3B4TEJZc0p0cHNCWmtBaXhhR1lCUjYtZkpz?oc=5" target="_blank">Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease</a>  <font color="#6f6f6f">Nature</font>

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>

Blood cell family trees trace how production changes with aging
MIT Newsgeneral

Blood cell family trees trace how production changes with aging

<a href="https://news.google.com/rss/articles/CBMikwFBVV95cUxQMk9ZbzBoenVSekg4bUlvMTk5QlNHZHhIbXd6Zmx1bnJfbU5GcGNORy1PRnNuZkVYamZiTGZ1ZmZ0b0wySXQ1d0xuWWlnVEI0ZGt3Ujlza1hpeTZxMXA1VHBodUdZWUVrcWFqUThsMnJVZm1sRFh2MFZvcEdRQWRwdjh2eTM2Mk16SVFYQmJzZlB0eVE?oc=5" target="_blank">Blood cell family trees trace how production changes with aging</a>  <font color="#6f6f6f">MIT News</font>

Deciphering cell to cell spatial relationship for pathology images using SpatialQPFs
Naturegeneral

Deciphering cell to cell spatial relationship for pathology images using SpatialQPFs

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9vQUUzcGphU2d6OHUyQ1FPcmVwNzczWFlWa1hHbmhIbDBHaWdYMzB5dEx6UjhHd0FwVExpYk1VNklJZndEc2NRY1hvdXhZclFBeDVTU3ZMcGtjR2ttczRZ?oc=5" target="_blank">Deciphering cell to cell spatial relationship for pathology images using SpatialQPFs</a>  <font color="#6f6f6f">Nature</font>

Deciphering cell lineage specification of human lung adenocarcinoma with single-cell RNA sequencing
Natureworld

Deciphering cell lineage specification of human lung adenocarcinoma with single-cell RNA sequencing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0yd0NfMTRmM1ZTZG9xOTd6Vkd1bTg0b1lPTVVUZWQyNEp2Um4tQkRaODQzc04tZ3d1bjF6MXNuZThqbEdDRDBrbGNJak5Pejh6TXJJZ2NjMEdzYWN6NGVr?oc=5" target="_blank">Deciphering cell lineage specification of human lung adenocarcinoma with single-cell RNA sequencing</a>  <font color="#6f6f6f">Nature</font>

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