Mentions
Extended reach
Total likes
Video views
AI synopsis
The discussions reflect excitement around the innovative methods proposed in the study, with phrases like 'step forward' and 'awesome' illustrating a positive reception. Users frequently emphasize the practical applications of Celloscope, hinting at its transformative potential in biological research, which enriches the overall sentiment of achievement and relevance associated with the publication.
While some posts focus on specific spelling errors or technicalities, many express a favorable view towards the model presented in the study.
There is a high level of interest in the topic, as many users are discussing the innovative aspects of the Celloscope model and its relevance to spatial transcriptomics.
Several posts delve into the significance of the improved methodology, but most are brief and do not explore the topic in-depth.
Many users recognize the publication's potential to influence the field of bioinformatics and spatial transcriptomics, indicating it may lead to significant advancements.
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.co/yp5zVZCssq https://t.co/sMBJ3bgNkQ
Our awesome Celloscope is out in Genome Biology! 10.1186/s13059-023-02951-8 . Spatial transcriptomics gives gene expression across tissues, but it does not specify which cell types are where. Celloscope uses marker genes to find them and to deconvolute mixtures of cells in spots!
Celloscope, presented by @ewa_szczurek @ShadiShafighi @animgoeth @jens_lagergren & co. @UniWarszawski is a step forward in developing new probabilistic methods used to analyze #spatialtranscriptomics data & answer diverse biological questions https://t.co/ju0EoXSGoP https://t.co/Gap4Ka9Nm1
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data
Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowledge on marker #genes for cell type deconvolution from #spatialtranscriptomics data. https://t.co/p1Xuz3sPV0
@2c817a7338f14a3 Correct spelling Oscilloscope التهجئة الصحيحة ~~~~~~~~~~~~~~~~~~~~~~ Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data
RT @public4safety: @2c817a7338f14a3 Correct spelling Oscilloscope التهجئة الصحيحة ~~~~~~~~~~~~~~~~~~~~~~ Celloscope: a probabilistic model…
RT @public4safety: @2c817a7338f14a3 Correct spelling Oscilloscope التهجئة الصحيحة ~~~~~~~~~~~~~~~~~~~~~~ Celloscope: a probabilistic model…
@2c817a7338f14a3 Correct spelling Oscilloscope التهجئة الصحيحة ~~~~~~~~~~~~~~~~~~~~~~ Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @RNASeqBlog: Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowled…
RT @RNASeqBlog: Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowled…
RT @RNASeqBlog: Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowled…
RT @RNASeqBlog: Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowled…
RT @RNASeqBlog: Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowled…
RT @RNASeqBlog: Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowled…
RT @RNASeqBlog: Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowled…
RT @RNASeqBlog: Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowled…
RT @RNASeqBlog: Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowled…
RT @RNASeqBlog: Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowled…
Researchers from the @PW_edu propose an innovative #probabilisticmodel, Celloscope, that utilizes established prior knowledge on marker #genes for cell type deconvolution from #spatialtranscriptomics data. https://t.co/p1Xuz3sPV0
RT @BioDecoded: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data | Genome B…
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data | Genome Biology https://t.co/X9GHgHbPFc #Bioinformatics https://t.co/nSIOfWKzxb
RT @LukasValihrach: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.co/yp5zVZCssq https://t.co/kH5UAX0f4L
RT @LukasValihrach: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data
RT @LukasValihrach: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial t... https://t.co/atA4sngv2Z
RT @GenomeBiology: Celloscope, presented by @ewa_szczurek @ShadiShafighi @animgoeth @jens_lagergren & co. @UniWarszawski is a step forward…
Celloscope, presented by @ewa_szczurek @ShadiShafighi @animgoeth @jens_lagergren & co. @UniWarszawski is a step forward in developing new probabilistic methods used to analyze #spatialtranscriptomics data & answer diverse biological questions https://t.co/ju0EoXSGoP https://t.co/Gap4Ka9Nm1
RT @ewa_szczurek: Our awesome Celloscope is out in Genome Biology! 10.1186/s13059-023-02951-8 . Spatial transcriptomics gives gene expressi…
RT @ewa_szczurek: Our awesome Celloscope is out in Genome Biology! 10.1186/s13059-023-02951-8 . Spatial transcriptomics gives gene expressi…
RT @ewa_szczurek: Our awesome Celloscope is out in Genome Biology! 10.1186/s13059-023-02951-8 . Spatial transcriptomics gives gene expressi…
RT @ewa_szczurek: Our awesome Celloscope is out in Genome Biology! 10.1186/s13059-023-02951-8 . Spatial transcriptomics gives gene expressi…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @ewa_szczurek: Our awesome Celloscope is out in Genome Biology! 10.1186/s13059-023-02951-8 . Spatial transcriptomics gives gene expressi…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.co/FccDXsTERe
RT @razoralign: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.…
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.co/yp5zVZCssq https://t.co/sMBJ3bgNkQ
Link to the paper: https://t.co/wJDj9t5bAT
Our awesome Celloscope is out in Genome Biology! 10.1186/s13059-023-02951-8 . Spatial transcriptomics gives gene expression across tissues, but it does not specify which cell types are where. Celloscope uses marker genes to find them and to deconvolute mixtures of cells in spots!
The penultimate talk of the meeting is by Agnieszka Geras presenting, Celloscope: A probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data #BCB22 https://t.co/tgQryJSZhM
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.co/qPnEhW6k6m https://t.co/rM9ItJLXJY
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.co/qPnEhW6k6m https://t.co/m4z0J3Cm3X
RT @biorxivpreprint: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data http…
RT @biorxivpreprint: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data http…
RT @SeqComplete: #BioIT #BioInformatics Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcr…
#BioIT #BioInformatics Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data [NEW RESULTS] https://t.co/Pcv90XTBhf
#bioRxiv Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data #bioinfo https://t.co/LlCboZNHqk
RT @biorxivpreprint: Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data http…
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.co/kIAshapO7s #biorxiv_bioinfo
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data https://t.co/oRYBU98J98 #bioRxiv