Mentions
Extended reach
Total likes
Video views
AI synopsis
Participants express strong interest in the new pseudotime inference method, citing its ability to outperform other tools and discussing its robustness in noisy datasets, which underscores its potential to advance single-cell transcriptomics research and influence the field.
Most discussions acknowledge the value of Slingshot and compare it favorably to other methods like TSCAN and PAGA, indicating general agreement on its usefulness.
Participants show high interest by mentioning multiple algorithms and discussing technical details, reflecting curiosity about advances in single-cell analysis.
The discourse includes comparisons, references to specific algorithms, and mentions of performance, demonstrating active engagement.
The conversations suggest that the method could influence future research approaches and improve understanding of cell differentiation, hinting at its potential significance.
Slingshot: Cell lineage and pseudotime inference for single-cell transcriptomics published as: https://t.co/FgqlddNbr8 @BMC_series #biorxiv
@AlbertVilella @satijalab @LGMartelotto @hoheyn Finally couple other methods (again not comprehensive): TSCAN https://t.co/0jrrIdUX8b slingshot: https://t.co/bl4ijonQ8w SLICE: https://t.co/hvcrpfvcj8 PAGA: https://t.co/4BNbMtlOg0
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics https://t.co/0X2CjhENYR
Pseudo time ordering algorithm https://t.co/IWmFcIxi2a
Slingshot is a new method designed to analyze single-cell transcriptomics data, helping researchers understand how different cell types develop from stem cells through multiple branching paths. It accurately identifies…
Slingshot is a new method designed to analyze single-cell transcriptomics data, helping researchers understand how different cell types develop from stem cells through multiple branching paths. It accurately identifies…
Slingshot is a new method designed to analyze single-cell transcriptomics data, helping researchers understand how different cell types develop from stem cells through multiple branching paths. It accurately identifies…
Slingshot is a new method designed to analyze single-cell transcriptomics data, helping researchers understand how different cell types develop from stem cells through multiple branching paths. It accurately identifies…
Slingshot is a robust method for analyzing single-cell transcriptomics data, helping researchers understand cell development from stem cells through complex branching. It accurately identifies lineage structures and…
Slingshot is a method designed to analyze single-cell transcriptomics data, helping researchers understand how different cell types develop from stem cells through multiple branching paths. It accurately identifies…
Slingshot is a robust method for analyzing single-cell transcriptomics data, aiding in understanding cell development pathways, branch structures, and gene expression dynamics during differentiation.
Slingshot is a robust method for analyzing single-cell transcriptomics data, helping researchers understand cell development pathways and pseudotimes, especially in complex, noisy datasets with multiple branches.
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics https://t.co/W8vos034Up
@AlbertVilella @satijalab @LGMartelotto @hoheyn Finally couple other methods (again not comprehensive): TSCAN https://t.co/0jrrIdUX8b slingshot: https://t.co/bl4ijonQ8w SLICE: https://t.co/hvcrpfvcj8 PAGA: https://t.co/4BNbMtlOg0
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics https://t.co/0X2CjhENYR
Pseudo time ordering algorithm https://t.co/IWmFcIxi2a
Slingshot: Cell lineage and pseudotime inference for single-cell transcriptomics published as: https://t.co/FgqlddNbr8 @BMC_series #biorxiv
... 10.1186/s12864-018-4772-0 Вот хорошее руководство https://nbisweden.github.io/workshop-scRNAseq/labs/seurat/seurat_07_trajectory.html.
... 10.1186/s12864-018-4772-0 Aqui um bom tutorial https://nbisweden.github.io/workshop-scRNAseq/labs/seurat/seurat_07_trajectory.html.
... 10.1186/s12864-018-4772-0 Here a good tutorial https://nbisweden.github.io/workshop-scRNAseq/labs/seurat/seurat_07_trajectory.html.
แต่บางทีผมอาจจะพลาดอะไรไปก็ได้นะ https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-018-4772-0 นี่เลย ทิวทัศน์ดีๆ https ...
... 10.1186/s12864-018-4772-0 यहाँ एक अच्छा ट्यूटोरियल है https://nbisweden.github.io/workshop-scRNAseq/labs/seurat ...
... 10.1186/s12864-018-4772-0 Ecco un buon tutorial https://nbisweden.github.io/workshop-scRNAseq/labs/seurat/seurat_07_trajectory.html.
... 10.1186/s12864-018-4772-0 Voici un bon tutoriel https://nbisweden.github.io/workshop-scRNAseq/labs/seurat/seurat_07_trajectory.html.
... 10.1186/s12864-018-4772-0 Hier ein gutes Tutorial https://nbisweden.github.io/workshop-scRNAseq/labs/seurat/seurat_07_trajectory.html.
doi:10.1186/s12864-018-4772-0 Medline. 53. L. Muñiz, E. G. Minguet, S. K. Singh, E. Pesquet, F. Vera-Sirera, C. L. Moreau-. Courtois, J ...
BP
SD
D
I
HP