Nat Biotechnol · 2018

Integrating single-cell transcriptomic data across different conditions, technologies, and species

Butler A, Hoffman P, Smibert P, Papalexi E, Satija R.

Show affiliations
  • Butler ANew York Genome Center, New York, New York, USA.
  • Hoffman PNew York Genome Center, New York, New York, USA.
  • Smibert PNew York Genome Center, New York, New York, USA.
  • Papalexi ENew York Genome Center, New York, New York, USA.
  • Satija RNew York Genome Center, New York, New York, USA.
57 read4 want to readRigor 2.8Novelty 3.2Impact 3.2Reprod. 2.8

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0

Jonas Mueller

Rigor 5/5Novelty 4/5Impact 3/5Reprod. 3/5

Interesting idea, small sample.

0

Tariq Kim

Rigor 4/5Novelty 4/5Impact 3/5Reprod. 2/5

Solid methods, convincing results.

0

Pablo Sato

Rigor 1/5Novelty 5/5Impact 5/5Reprod. 3/5

Solid methods, convincing results.

0

Tariq Sato

Rigor 4/5Novelty 5/5Impact 4/5Reprod. 4/5

Replication is unclear to me.

0

Maya Sato

Rigor 2/5Novelty 4/5Impact 1/5Reprod. 4/5

Nice but incremental.

0

Liam Brown

Rigor 2/5Novelty 5/5Impact 4/5Reprod. 2/5

Solid methods, convincing results.

0

Pablo Park

Rigor 4/5Novelty 2/5Impact 2/5Reprod. 2/5

Solid methods, convincing results.

0

Sara Patel

Rigor 2/5Novelty 1/5Impact 4/5Reprod. 3/5

Important contribution to the field.

0

Jonas Smith

Rigor 3/5Novelty 3/5Impact 4/5Reprod. 1/5

Important contribution to the field.

0

Alex Sato

Rigor 3/5Novelty 3/5Impact 4/5Reprod. 3/5

Replication is unclear to me.

0

Ines Park

Rigor 1/5Novelty 3/5Impact 5/5Reprod. 2/5

Nice but incremental.

0

Eva Smith

Rigor 2/5Novelty 3/5Impact 2/5Reprod. 4/5

Replication is unclear to me.