Google TrendMATTHEW STONE SR (200+) — Adult victims, suspected shooter ID'd in Erie mass shooting
The 24/7 Global Portal

World News, Markets & Google Trends

Aggregated real-time headlines, trending Google search queries, and verified dispatches in one single page.

Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Modeling transcriptomic a" (30 stories)

Top Headline Story

Developmentally dynamic, non-convergent transcriptomic profiles in CNV models for schizophrenia risk
Lead StoryNaturegeneral
Jun 18

Developmentally dynamic, non-convergent transcriptomic profiles in CNV models for schizophrenia risk

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5kc2VwT2FTRHdLemxxT3ZXYTEyNVJoZE5QQVdtVWdXY2lJdUloODFDZVMwUHdhWlVwMHhJOF9GelEyajZrNG15cDU5M3dnVWlwcmlPTF9HZEp4Q1ZmNEZv?oc=5" target="_blank">Developmentally dynamic, non-convergent transcriptomic profiles in CNV models for schizophrenia risk</a>  <font color="#6f6f6f">Nature</font>

Real-time search volume
200+24m ago

matthew stone sr

Adult victims, suspected shooter ID'd in Erie mass shooting

2000+44m ago

selma blair

Selma Blair arrested for biting flight attendant, trying to open plane door

5000+54m ago

al-nassr vs neftchi fergana

Al Nassr Asian Champions League clash in doubt over Riyadh security situation

500+54m ago

samantha busch

Kyle Busch’s Widow Samantha Calls His Death ‘Unfair’ After ‘Emotional’ Celebration for Beloved NASCAR Star

Search Results for "Modeling transcriptomic a"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells
alphaXivworld

Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells

<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE5oSFZZTm85YlRlb2paTmo4Vnh5UzItWk5OUlVXX0h2M1dNTFNIbnVTd0tueU5ETHRRWmVOaFFVYk9SUmc3LTFNQm5qS01HSkww?oc=5" target="_blank">Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells</a>  <font color="#6f6f6f">alphaXiv</font>

Interpretable models for spatial transcriptomics
Naturegeneral

Interpretable models for spatial transcriptomics

<a href="https://news.google.com/rss/articles/CBMiWEFVX3lxTFBQZndxOF8xX0I3TnNxNDN4cDkyZklfM3RFVzktdnlNaGI5VXhDSVBNSkpVdDFvVE9GMGx2QmV3a25SZW02SXE5QW9kU2hPS2FXZWJBa21wUUo?oc=5" target="_blank">Interpretable models for spatial transcriptomics</a>  <font color="#6f6f6f">Nature</font>

Cross-species transcriptomic analysis of rodent model fidelity to human mesial temporal lobe epilepsy
Naturegeneral

Cross-species transcriptomic analysis of rodent model fidelity to human mesial temporal lobe epilepsy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1PVjdDS0hVdkhqSG5yemcxVWkyaDJCYzZQN09OT0NyS0o2R3pkZmFmbjN5VmQ3NGh1dnpfN3FTbXNONjZQZGRBemh4WGlxWG14VFRRY0Z6dEhUbTdkc244?oc=5" target="_blank">Cross-species transcriptomic analysis of rodent model fidelity to human mesial temporal lobe epilepsy</a>  <font color="#6f6f6f">Nature</font>

Transcriptomic age prediction using mixture-of-experts models reveals tissue-specific aging signatures in large-scale human RNA-sequencing data
medRxivgeneral

Transcriptomic age prediction using mixture-of-experts models reveals tissue-specific aging signatures in large-scale human RNA-sequencing data

<a href="https://news.google.com/rss/articles/CBMie0FVX3lxTE16Q1VCVk8tUGd2LVZvSkFjNWxnLTh3QzVBc19VVm9YQVJ4amdSQ0lhclV6d2dUS0Y2Y2Zkc2FVVEpQM1JrYlNPbkpaaWhCWUNuQTRocmtmWEtZVThfR0lzN0dXMWt4U0pUUnRzZEh6TmR4dDlkdFhURE1lQQ?oc=5" target="_blank">Transcriptomic age prediction using mixture-of-experts models reveals tissue-specific aging signatures in large-scale human RNA-sequencing data</a>  <font color="#6f6f6f">medRxiv</font>

A comparative transcriptomic analysis of mouse demyelination models and multiple sclerosis lesions
Naturegeneral

A comparative transcriptomic analysis of mouse demyelination models and multiple sclerosis lesions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE53eFMtVF85R090d0xUcHdNNGJBTXdaTm9rb1FpQ1FHOTVnSXJnR190SlZBbXhlOHgySC1tTi1BQnB5eHRGM1h3dmNnYzh6a3R4eFdjU000NktUdXVuUG9r?oc=5" target="_blank">A comparative transcriptomic analysis of mouse demyelination models and multiple sclerosis lesions</a>  <font color="#6f6f6f">Nature</font>

Decoding cancer circulating transcriptomic signatures with language models
Naturegeneral

Decoding cancer circulating transcriptomic signatures with language models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9pV1VRQVdXbkpDcV9lTWlyeUtGX2FKOUJVak9Lc01QMWVhMGhkS0lyYXhYZGpwY0pjZ1VXS1IxM0hWb2VTcjdnOFZfeXNiYW93T05XTVpIMExwcnd2NzVJ?oc=5" target="_blank">Decoding cancer circulating transcriptomic signatures with language models</a>  <font color="#6f6f6f">Nature</font>

Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genes
Naturegeneral

Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genes

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5GQXctLVdSWkFlTEt2MmFlcGZtelg4OTBmSGxRdThyQVhJdXRuZnpzNktrWlhrRXFWdm5VSG10dDlYTWJNX2FXcUpTTWszeXk0VTRfUHllTWowR2NwcndB?oc=5" target="_blank">Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genes</a>  <font color="#6f6f6f">Nature</font>

Scaling up training dataset size for transcriptomic AI models is much pain with little gain
Naturetech

Scaling up training dataset size for transcriptomic AI models is much pain with little gain

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5HaERtODVYb25YX1ZnM3FNN2tQNFFvQ0h0V2JjallfdzhfdnEzNlVFaTBhN1hhd1IzY19qRERmRmFKNk5FYkVnSEFoYUlkMmdudkluSW1HdGI2NzFrdTFR?oc=5" target="_blank">Scaling up training dataset size for transcriptomic AI models is much pain with little gain</a>  <font color="#6f6f6f">Nature</font>

Transcriptomic comparison of human intestinal organoids and Caco-2 cells in modeling nutrient absorption: insights from infant formula and breast milk | npj Science of Food
Naturescience

Transcriptomic comparison of human intestinal organoids and Caco-2 cells in modeling nutrient absorption: insights from infant formula and breast milk | npj Science of Food

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5mM1hVSjlrTEJJYlppWjVWSV85MHkzVVU1bTJId25Ma3R5dHA2ekowNlR3Y3J2MkM0NmZfLVV0bHZQN29XX3pKbUFEZ2NhanhwdmJHX1lpMGRTbzA5NExF?oc=5" target="_blank">Transcriptomic comparison of human intestinal organoids and Caco-2 cells in modeling nutrient absorption: insights from infant formula and breast milk | npj Science of Food</a>  <font color="#6f6f6f">Nature</font>

QAL333’s antitumor activity and predictive modeling: integrated transcriptomic-bioinformatic analysis reveals selective cytotoxicity and sensitivity determinants
Naturegeneral

QAL333’s antitumor activity and predictive modeling: integrated transcriptomic-bioinformatic analysis reveals selective cytotoxicity and sensitivity determinants

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBnbFJHOWZkdDkxejZsREV4bGcwRlpRVmNCMERqdV9KR1ROUEpUbVR2bURjeGEwb3UwU3BZNWt4VGpIdlBSNHBnZkNHSzNQMFBiaWlMekNxa0FEU1FuaTU4?oc=5" target="_blank">QAL333’s antitumor activity and predictive modeling: integrated transcriptomic-bioinformatic analysis reveals selective cytotoxicity and sensitivity determinants</a>  <font color="#6f6f6f">Nature</font>

Transcriptome-conditioned molecule generation via gene interaction-aware fragment modeling with a GPT-based architecture
Naturegeneral

Transcriptome-conditioned molecule generation via gene interaction-aware fragment modeling with a GPT-based architecture

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE50VDdQNVZfRWxCcTVObHdpSF9yclE2MFYwZ25XMVZFR1hINS1OX19uQkNwQ3RSTXBkWkpXTHJNOThzRXZ3R3VmRThOeXMyc2xBdEFUUkpaSUpPdWZpZnVr?oc=5" target="_blank">Transcriptome-conditioned molecule generation via gene interaction-aware fragment modeling with a GPT-based architecture</a>  <font color="#6f6f6f">Nature</font>

Modeling transcriptomic age using knowledge-primed artificial neural networks
Naturegeneral

Modeling transcriptomic age using knowledge-primed artificial neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5zZUtEbTNSRkwtazR3WXJBUk5yaThSUElCY24wZWllSUhNZTRDWHk5WWVVVUkyT3c5dHYxVDZwUUtmbG92cVJ6VU1BQjJ1SG40Rkk3TGs1ck5FZ2dyQllZ?oc=5" target="_blank">Modeling transcriptomic age using knowledge-primed artificial neural networks</a>  <font color="#6f6f6f">Nature</font>

Large-scale foundation model on single-cell transcriptomics
Natureworld

Large-scale foundation model on single-cell transcriptomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBYdWJGSk84SklqTFBsSnpaYW1rMExiNkJrbUZObzFmdVhzaEdfVllrdzk4UDlOT2FXZ2FhTjI0bmI0cENpbm9nT0JfQVFIVEtIQUdJanBwVGlVZDY0Vnhz?oc=5" target="_blank">Large-scale foundation model on single-cell transcriptomics</a>  <font color="#6f6f6f">Nature</font>

Supervised latent factor modeling isolates cell-type-specific transcriptomic modules that underlie Alzheimer’s disease progression | Communications Biology
Natureworld

Supervised latent factor modeling isolates cell-type-specific transcriptomic modules that underlie Alzheimer’s disease progression | Communications Biology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5jVmlxTmwzeklodlJfZHk0VU9semdmaXdTdzFrNjlCYUVVTlFqZWZEQ2pDWVBQWVl1dGdGMlVzekNtMWJZYWdZZmhHcnJHanB2cThjbFhaMzRTdmtBZzZR?oc=5" target="_blank">Supervised latent factor modeling isolates cell-type-specific transcriptomic modules that underlie Alzheimer’s disease progression | Communications Biology</a>  <font color="#6f6f6f">Nature</font>

Multi-ancestry gene expression models amplify transcriptome-wide association study discovery and validation
Naturegeneral

Multi-ancestry gene expression models amplify transcriptome-wide association study discovery and validation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBmc1Y2Q3o2c1V6bU5WUWU2ZUdRMWYwSDJKMEQ2Q282Q0ZHeGhtNmpFTGNxOWtIc3RfRjllZVF2ajJJbVluamRRbjF0V1NoMEhKV190Y29UQ2Zkb2hMX0lZ?oc=5" target="_blank">Multi-ancestry gene expression models amplify transcriptome-wide association study discovery and validation</a>  <font color="#6f6f6f">Nature</font>

scLong: a billion-parameter foundation model for capturing long-range gene context in single-cell transcriptomics
Naturepolitics

scLong: a billion-parameter foundation model for capturing long-range gene context in single-cell transcriptomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA3QWVzQXdGMEptdDFhV1BfTnQ5Y3paZVNoRnAtcmJjNEVoczVoR0lYQ1RscGd6M1pTQzNGOF9Pdndhbm9GeEhlVklqNXItTVBLdFFzUkNiMTR5aGNsZGxF?oc=5" target="_blank">scLong: a billion-parameter foundation model for capturing long-range gene context in single-cell transcriptomics</a>  <font color="#6f6f6f">Nature</font>

ELLA: modeling subcellular spatial variation of gene expression within cells in high-resolution spatial transcriptomics
Naturegeneral

ELLA: modeling subcellular spatial variation of gene expression within cells in high-resolution spatial transcriptomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5rQnQzM2RSOXB4S01xRFhhODN2Y3JnaDBybmg5T3VWLXBYOEZrTk1wcWo5NmxEZGpzc3VSWGU3OFBfN0RYUnpBaXpTRUVfRG5yVFFqY2NKT0pjenJWdU9j?oc=5" target="_blank">ELLA: modeling subcellular spatial variation of gene expression within cells in high-resolution spatial transcriptomics</a>  <font color="#6f6f6f">Nature</font>

scAgeClock: a single-cell transcriptome-based human aging clock model using gated multi-head attention neural networks
Naturegeneral

scAgeClock: a single-cell transcriptome-based human aging clock model using gated multi-head attention neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBQdGZuR0hzUE1FZ21jem9VcVJWbnY1VWg3SFlLVy1qa3BBMFJzZk1SUk5HbW83ZUI3WXNBVmJJdFU4d1k1Q19KZUNWRVlpZEdoLWVyUjdnTHdMS3BuWG1R?oc=5" target="_blank">scAgeClock: a single-cell transcriptome-based human aging clock model using gated multi-head attention neural networks</a>  <font color="#6f6f6f">Nature</font>

Integrated transcriptomic and functional modeling reveals AKT and mTOR synergy in colorectal cancer
Natureworld

Integrated transcriptomic and functional modeling reveals AKT and mTOR synergy in colorectal cancer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE91cm56RHExYmt1TE52TndGV0RHclh3Q1ZBUnlsUm5samFpdGhKTVB1R1ZNSUVKMkEwLUpNMl9UZjliMjdvc29BOGZxMDBkMDVXVENBQkc0eHNQR195Z2pZ?oc=5" target="_blank">Integrated transcriptomic and functional modeling reveals AKT and mTOR synergy in colorectal cancer</a>  <font color="#6f6f6f">Nature</font>

CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells
Naturetech

CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE80ZE0zWXZ1cjRCaDZlTV9HQ3hJVGZ5d2VVOWJoWlpsRFp6N1NfaG1QSmcxcVd6WldNT29Lci15VGZWeU8wZ3NHVmpFU1ZOaHNtVzktRE8wcWtIOERwV040?oc=5" target="_blank">CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells</a>  <font color="#6f6f6f">Nature</font>

A visual–omics foundation model to bridge histopathology with spatial transcriptomics
Natureworld

A visual–omics foundation model to bridge histopathology with spatial transcriptomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE84enNhajdTTUp1NzNRVkJpUmhnNWhFQl9EQVhJS0N3dU5yMzcwRkdpcTZoOGoyd1Y4ay1lcjM3UWtxRlo2X3R3MFJQZ2dOSEoxXzBuZ3VkN085Y3d2c2s4?oc=5" target="_blank">A visual–omics foundation model to bridge histopathology with spatial transcriptomics</a>  <font color="#6f6f6f">Nature</font>

Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
Naturetech

Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5mc3VnWXAwVFBXMTl5Y1JZMWJIZlM0UV9tWEdQc1Y2bjE3TlVBN3BaNm1NSWVfZ1pkRTJLSXBuNzF2Mk5vOHpKWWltaVVGLVlzYVVzdWhCUDhtYmE0UWpj?oc=5" target="_blank">Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits</a>  <font color="#6f6f6f">Nature</font>

Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics
Naturegeneral

Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9paXZIeUVzTlNiX0JUSkxUeEdLblQycnV5QXk2c1hSVlk2UGdmUFdPMXA0Wkg1ZjZDalYycU8tanhVNTdiNUt5VHhfOTlhNGQxcEJyMWpZNkhvU193T19B?oc=5" target="_blank">Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics</a>  <font color="#6f6f6f">Nature</font>

Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope
Naturegeneral

Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9wSGhiVkJPYXJZQ2dsbEtfNVZhUUZqWkZEbEFLVG1RQ3NWU0dKdm1PTGpaemNkQlEzdzA0Mjdsc3VrZ3RSNlN5Q2FQOXFzV2dTcFBtbzljUUgtRWtURndZ?oc=5" target="_blank">Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope</a>  <font color="#6f6f6f">Nature</font>

State-transition modeling of blood transcriptome predicts disease evolution and treatment response in chronic myeloid leukemia
Naturegeneral

State-transition modeling of blood transcriptome predicts disease evolution and treatment response in chronic myeloid leukemia

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9mUnNXTU5maWlEVDJJREIxV2hfOEhfM2txNXl6OFlIb2xLNXNna3dOOUowdHhNUTBwNWZGb2FsajdYNmRzeGVOZ0l6QkRJVWIyZnltWV9yTERDdkkxb3BB?oc=5" target="_blank">State-transition modeling of blood transcriptome predicts disease evolution and treatment response in chronic myeloid leukemia</a>  <font color="#6f6f6f">Nature</font>

Dual platform spatial transcriptomics reveals parvalbumin interneuron subtype vulnerability in mouse models of Alzheimer’s disease
Naturegeneral

Dual platform spatial transcriptomics reveals parvalbumin interneuron subtype vulnerability in mouse models of Alzheimer’s disease

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1POUVnM0xmMXR1cW9DX1d6MUlZcmdjMmY2WlpQMUdZekRPaldpSXhTcGJtV3g3emtyRm1FdVk3cG01YkpQWTd3R3BVQTN5QXZpb0J4TnJ2OTRDb1dJaWxz?oc=5" target="_blank">Dual platform spatial transcriptomics reveals parvalbumin interneuron subtype vulnerability in mouse models of Alzheimer’s disease</a>  <font color="#6f6f6f">Nature</font>

Differential gene expression analysis of spatial transcriptomic experiments using spatial mixed models
Naturegeneral

Differential gene expression analysis of spatial transcriptomic experiments using spatial mixed models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBqRmxVYmJzcVo2aV9nUlp5dFltQndpalQweElHalNrNWFtSDZxTVdNNVRYek9uSGw5TW5jSmhqM2hjalNDRFRSZUtmSUtGNEZFNXYyOXQyc0FSYklDTnB3?oc=5" target="_blank">Differential gene expression analysis of spatial transcriptomic experiments using spatial mixed models</a>  <font color="#6f6f6f">Nature</font>

Endometrial receptivity profiled through transcriptomic analysis of uterine fluid extracellular vesicles using systems biology and bayesian modeling for pregnancy prediction
Naturegeneral

Endometrial receptivity profiled through transcriptomic analysis of uterine fluid extracellular vesicles using systems biology and bayesian modeling for pregnancy prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE41NUJRWXJ2RDF1Z0htSlRNSEFGc3VOMkFFV0pxVUx1OEcwdUJ5Y1V6cmJ4OFV1OFJGbW96dzZ3eE9CajZjdTltQlM4LTJ1bi10eW5UT3dKck95QnIwVmJN?oc=5" target="_blank">Endometrial receptivity profiled through transcriptomic analysis of uterine fluid extracellular vesicles using systems biology and bayesian modeling for pregnancy prediction</a>  <font color="#6f6f6f">Nature</font>

Mixed-model and transcriptome-wide association analyses identify transcription factors and genes associated with colorectal cancer susceptibility
Naturegeneral

Mixed-model and transcriptome-wide association analyses identify transcription factors and genes associated with colorectal cancer susceptibility

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBfSVptb0J6TDlnblZIX29IM3gyVXUtV1h6SEJ6cDk3cGI2VTBfb3pyUnJBODBiODdtRDQzV0FLWTVYSWlqNTBXX0VyQ1JhbU1OTzBoU2ZZTmVLZFFoRDZF?oc=5" target="_blank">Mixed-model and transcriptome-wide association analyses identify transcription factors and genes associated with colorectal cancer susceptibility</a>  <font color="#6f6f6f">Nature</font>

"Modeling transcriptomic a" — Live Google News Trends & Headlines