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Several discussions highlight key aspects of the study, noting its comprehensive nature and the significant efforts behind the benchmarking of methods. For instance, one contributor mentions that it serves as 'a great and thorough review,' while another reflects on how 'those fancy tools... ain’t doing better job than a simple SVM,' illustrating a critical engagement with the subject matter. The choice of phrases like 'immense amount of work' conveys admiration, while critiques of newer methods alongside a reference to the effectiveness of simpler models emphasize the nuanced tone of the conversations.
The majority of discussions show support for the findings and recommendations made in the publication.
Many contributors express a high level of curiosity and relevance regarding the benchmarking of cell identification methods.
While some posts are casual or brief, there are thoughtful comments referencing specific methodologies and personal experiences with classification tools.
Participants believe the study holds significant relevance for future research and practical applications in single-cell RNA sequencing.
Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now published @GenomeBiology . Very proud of all the work done by Tamim and Lieke! https://t.co/82W2CNQXFN https://t.co/g9mZmoKzQN
CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @GenomeBiology : A comparison of automatic cell identification methods for single-cell RNA sequencing data https://t.co/2MPk38zVj9
Researchers at @LUMC_Leiden benchmarked the performance of 22 classification methods using 27 publicly available #singlecell #RNAsequencing datasets of different sizes, technologies, species, and levels of complexity. https://t.co/WTbDzmyle1
Abdelall, Michielsen, Mahfouz and co compare the performances of 22 methods for cell type classification from scRNA-seq data. Most methods work well, at least for less complex data. Part of our #benchmarking special issue https://t.co/PuLZVzp73E https://t.co/ppF5zYebO0
BENCHMARKING #SingleCell annotation tools @GenomeBiology. https://t.co/jR41KLqh0s
benchmarking cell type classification methods https://t.co/y5T3sIBhCY
This video benchmarks 22 automatic cell identification methods for single-cell RNA sequencing data. It highlights the accuracy, efficiency, and performance of these methods compared to manual annotations, utilizing 27…
The Journal Club discusses the benchmark study of 22 automatic cell identification methods for single-cell RNA sequencing. Evaluating 27 datasets, it highlights improvements in accuracy and efficiency of cell…
@eisamahyari @simocristea @NimwegenLab Do you mean by using quantiles / binning like in scGPT (https://t.co/fAXgX2cqCr) or scBert (https://t.co/3tQ5pgIqKu). I have to say that I have not seen many classification models using this (and saw none in https://t.co/3M9txhkMTz), do you have papers in mind ?
RT @KongGarth: I appreciate this very much... Source: A comparison of automatic cell identification methods for single-cell RNA sequencing…
I appreciate this very much... Source: A comparison of automatic cell identification methods for single-cell RNA sequencing data #snakemake #Bioinformatics #Genomics https://t.co/pbtC9ECP6W
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
I've been benchmarking single-cell annotation tools. All those fancy tools (even published on Nature Biotech and Nature Methods) aint doing better job than a simple SVM. And I'm not alone on this.https://t.co/YCJJ4bkLhz; https://t.co/WdD7l24JrQ; https://t.co/u5MJ5ePfKM
RT @Gurkan_Yardimci: A great and thorough review of sc-RNA-seq automatic annotation methods. Most likely, immense amount of work went into…
A great and thorough review of sc-RNA-seq automatic annotation methods. Most likely, immense amount of work went into it, and this is how good reviews should be. Too bad such useful papers generally end up relatively underappreciated. https://t.co/HfGmrPG0pI
@liekemichielsen presenting her (and Tamim Abdelaal's) benchmark of single-cell RNA-seq classifiers as a highlight talk at #biosb2020. paper: https://t.co/iicCPXHxVP snakemake pipeline: https://t.co/BWPQvNhZCJ https://t.co/6eJekjPeph
RT @clintomics: The automated cell type ID field for single-cell data is expanding rapidly..might be time for another review: https://t.co/…
The automated cell type ID field for single-cell data is expanding rapidly..might be time for another review: https://t.co/ynqp9PEtJE
RT @yuifu: #IIBMP2020 クラスターの自動アノテーション A comparison of automatic cell identification methods for single-cell RNA sequencing data https://t.…
RT @yuifu: #IIBMP2020 クラスターの自動アノテーション A comparison of automatic cell identification methods for single-cell RNA sequencing data https://t.…
#IIBMP2020 クラスターの自動アノテーション A comparison of automatic cell identification methods for single-cell RNA sequencing data https://t.co/sVtxdiyfup
@tangming2005 I would try SCINA with the marker gene list provided this tool is not popular but achieved some good performances in this review: https://t.co/qghduMGgj1
@tangming2005 There’s a comparison of like 9 here: https://t.co/RwbJOCshZt. I use the SCANVI model in scVI.
Highlight talk "A comparison of automatic cell identification methods for single-cell RNA sequencing data" by Tamim Abdelaal, Lieke Michielsen, Davy Cats, Dylan Hoogduin, Hailiang Mei, Marcel Reinders and Ahmed Mahfouz. https://t.co/YZC4cYfMiz
@leland_mcinnes @MDLuecken @NikolayOskolkov It seems that non-linear methods are preferred for SC visualization and clustering. But what about classification? I recently read this paper: https://t.co/ofaxzPi0g8 - where (linear) SVM's came out on top? Shouldn't classifiers work better on a learned non-linear mapping?
RT @ivivek87: Today's #SingleCell reading list in cell-type annotation & labeling scope (in order of publication date): 1.https://t.co/TNo…
RT @ivivek87: Today's #SingleCell reading list in cell-type annotation & labeling scope (in order of publication date): 1.https://t.co/TNo…
RT @ivivek87: Today's #SingleCell reading list in cell-type annotation & labeling scope (in order of publication date): 1.https://t.co/TNo…
Today's #SingleCell reading list in cell-type annotation & labeling scope (in order of publication date): 1.https://t.co/TNoII0YuTn 2.https://t.co/sC7AKVAihC 3.scMatch:https://t.co/fbAmQ4C7BC Notes in progress! Interesting strategies employed. Thanks for the work & datasets
A comparison of automatic cell identification methods for single-cell RNA sequencing data https://t.co/aJD9dic6dA
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
Benchmarking classification tools for scRNA-seq data by @ahmedElkoussy https://t.co/nbPjUaYbqw #SingleCell #DataAnalysis
RT @LGMartelotto: A comparison of automatic cell identification methods for single-cell RNA sequencing data | Genome Biology | Full Text ht…
RT @LGMartelotto: A comparison of automatic cell identification methods for single-cell RNA sequencing data | Genome Biology | Full Text ht…
RT @LGMartelotto: A comparison of automatic cell identification methods for single-cell RNA sequencing data | Genome Biology | Full Text ht…
A comparison of automatic cell identification methods for single-cell RNA sequencing data | Genome Biology | Full Text https://t.co/UgzpLQh9Jz
RT @sroyyors: benchmarking cell type classification methods https://t.co/y5T3sIBhCY
benchmarking cell type classification methods https://t.co/y5T3sIBhCY
RT @cwcyau: Have the authors of this paper (https://t.co/zFQFrK4T9D) addressed the issue highlighted here (https://t.co/YMOPONmNdu)? Have n…
RT @cwcyau: Have the authors of this paper (https://t.co/zFQFrK4T9D) addressed the issue highlighted here (https://t.co/YMOPONmNdu)? Have n…
Have the authors of this paper (https://t.co/zFQFrK4T9D) addressed the issue highlighted here (https://t.co/YMOPONmNdu)? Have no personal interest but highlighting on behalf of a junior researcher.
RT @RNASeqBlog: Researchers at @LUMC_Leiden benchmarked the performance of 22 classification methods using 27 publicly available #singlecel…
RT @hoheyn: BENCHMARKING #SingleCell annotation tools @GenomeBiology. https://t.co/jR41KLqh0s
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @hoheyn: BENCHMARKING #SingleCell annotation tools @GenomeBiology. https://t.co/jR41KLqh0s
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
BENCHMARKING #SingleCell annotation tools @GenomeBiology. https://t.co/jR41KLqh0s
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
RT @ahmedElkoussy: Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now p…
Our benchmarking study of methods to automatically identify cell populations in single-cell RNA sequencing data is now published @GenomeBiology . Very proud of all the work done by Tamim and Lieke! https://t.co/82W2CNQXFN https://t.co/g9mZmoKzQN
One step closer to getting the full power out of scRNA-seq ... It could be helpful https://t.co/YE36tg078W
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @RNASeqBlog: Researchers at @LUMC_Leiden benchmarked the performance of 22 classification methods using 27 publicly available #singlecel…
RT @RNASeqBlog: Researchers at @LUMC_Leiden benchmarked the performance of 22 classification methods using 27 publicly available #singlecel…
RT @RNASeqBlog: Researchers at @LUMC_Leiden benchmarked the performance of 22 classification methods using 27 publicly available #singlecel…
RT @RNASeqBlog: Researchers at @LUMC_Leiden benchmarked the performance of 22 classification methods using 27 publicly available #singlecel…
RT @RNASeqBlog: Researchers at @LUMC_Leiden benchmarked the performance of 22 classification methods using 27 publicly available #singlecel…
Researchers at @LUMC_Leiden benchmarked the performance of 22 classification methods using 27 publicly available #singlecell #RNAsequencing datasets of different sizes, technologies, species, and levels of complexity. https://t.co/WTbDzmyle1
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @GenomeBiology: Abdelall, Michielsen, Mahfouz and co compare the performances of 22 methods for cell type classification from scRNA-seq…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @GenomeBiology: Abdelall, Michielsen, Mahfouz and co compare the performances of 22 methods for cell type classification from scRNA-seq…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @k____i: A comparison of automatic cell identification methods for single-cell RNA sequencing data https://t.co/aOP5h6ohOs #uncategorize…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
A comparison of automatic cell identification methods for single-cell RNA sequencing data https://t.co/aOP5h6ohOs #uncategorized #feedly
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
A comparison of automatic cell identification methods for single-cell RNA sequencing data https://t.co/qn8KbwXjS8 https://t.co/HUSGfKa9mZ
RT @jsantoyo: A comparison of automatic cell identification methods for single-cell RNA sequencing data. https://t.co/3HMhXOCO4G
RT @jsantoyo: A comparison of automatic cell identification methods for single-cell RNA sequencing data. https://t.co/3HMhXOCO4G
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
A comparison of automatic cell identification methods for single-cell RNA sequencing data. https://t.co/3HMhXOCO4G
RT @artofbiology: @jamesrhowe6 @ahmedElkoussy the above preprint just gets published https://t.co/2MPk38zVj9
RT @GenomeBiology: Abdelall, Michielsen, Mahfouz and co compare the performances of 22 methods for cell type classification from scRNA-seq…
Abdelall, Michielsen, Mahfouz and co compare the performances of 22 methods for cell type classification from scRNA-seq data. Most methods work well, at least for less complex data. Part of our #benchmarking special issue https://t.co/PuLZVzp73E https://t.co/ppF5zYebO0
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: @jamesrhowe6 @ahmedElkoussy the above preprint just gets published https://t.co/2MPk38zVj9
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @Ge…
RT @artofbiology: @jamesrhowe6 @ahmedElkoussy the above preprint just gets published https://t.co/2MPk38zVj9
CellAssign and Garnett get published today on @naturemethods , and meanwhile there is another benchmarking study from @GenomeBiology : A comparison of automatic cell identification methods for single-cell RNA sequencing data https://t.co/2MPk38zVj9
@jamesrhowe6 @ahmedElkoussy the above preprint just gets published https://t.co/2MPk38zVj9
A comparison of automatic cell identification methods for single-cell RNA-sequencing data | bioRxiv https://t.co/jvnCjlyebP
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…
RT @strnr: A comparison of automatic cell identification methods for single-cell RNA-sequencing data https://t.co/pHYwmpcSPG https://t.co/S…