slide-seq arrays (Broad Institute Inc)
90
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Broad Institute Inc
slide-seq arrays
Slide Seq Arrays, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slide-seq+array/slide+seqv2/pmc10530051-263-0-9
Average 90 stars, based on 1 article reviews
Slide Seq Arrays, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slide-seq+array/slide+seqv2/pmc10530051-263-0-9
Average 90 stars, based on 1 article reviews
slide-seq arrays - by Bioz Stars,
2026-10
90/100 stars
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Expressing:Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics). Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal. Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948. Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ). Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity. Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948. Western Blot:Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics). Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal. Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948. Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ). Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity. Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948. Staining:Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics). Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal. Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948. Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ). Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity. Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948. Control:Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics). Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal. Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948. Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ). Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity. Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948. Quantitative Proteomics:Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics). Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal. Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948. Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ). Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity. Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948. RNA Expression:Article Title: DSCT: A novel deep learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hi ppocampal data were obtained from the Broad Institute Single Cell Portal (https://singlecell. broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatia l-transcriptomics). Article Title: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains Article Snippet: It contains 12 sections, each with 3000-4000 spots, spanning six neural layers and the white matter.16 The labels were manually annotated by the authors.17 Mouse hippocampus Slide-seq V2 data were downloaded from the Broad Institute Single Cell portal. Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication , with cell types previously annotated in RCTD , available at the Broad Institute Single Cell Portal at https://singlecell.broadinstitute.org/single_cell/study/SCP948 . Article Title: PACT suppresses PKR activation through dsRNA binding and dimerization, and is a therapeutic target for triple-negative breast cancer Article Snippet: Transcriptomic data for TCGA BRCA samples (illuminahiseq_rnaseqv2-RSEM_genes) and clinical data (Merge_Clinical) were obtained from the Broad Institute FireBrowse and are available at http://firebrowse.org/ . Article Title: Characterizing cell-type spatial relationships across length scales in spatially resolved omics data Article Snippet: The Slide-seqV2 mouse cerebellum dataset was obtained from the original publication (https://doi.org/10.1038/s41587-020-0739-1), with cell types previously annotated in RCTD (https://doi.org/10.1038/s41587-021-00830-w), available at the Broad Institute Single Cell Portal at https:// singlecell.broadinstitute.org/single_cell/study/SCP948. Article Title: DSCT: a novel deep-learning framework for rapid and accurate spatial transcriptomic cell typing Article Snippet: Slide-seq hippocampal data were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP948/robust-decomposition-of-cell-type-mixtures-in-spatial-transcriptomics ). Article Title: Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity. Article Snippet: The Slide-seqV2 mouse cerebellar data are obtained from the Broad Institute Single Cell Portal available at https://singlecell.broadinstitute.org/single_cell/study/ SCP948. |
