Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

about

Nothing in cancer makes sense except….Taking Systems Medicine to Heart.Isoform-level gene expression patterns in single-cell RNA-sequencing data.Q58714444

P2860

Q50282189-808626DB-5334-4B45-B271-A0A801120F11 Q52560346-F4416AE3-ACC8-4D65-9C8E-CFAB05A71E36 Q52681326-709BFBD9-B9F4-4EF6-873A-5177CF7BD444 Q58714444-9D90E0FD-8D26-4632-B573-E167F40C6238

P2860

Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

Item

http://www.wikidata.org/entity/Q46650799

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh-hant

name

Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

@en

Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

@nl

type

Item

label

Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

@en

Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

@nl

prefLabel

Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

@en

Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

@nl

P1476

Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

@en

P2093

James Hicks

http://www.w3.org/2001/XMLSchema#string

Timour Baslan

http://www.w3.org/2001/XMLSchema#string

P2860

Cancer genome landscapes

Cas9 as a versatile tool for engineering biology

Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq

Barrett's oesophagus and oesophageal adenocarcinoma: time for a new synthesis

Genome-wide detection of single-nucleotide and copy-number variations of a single human cell

The Cancer Genome Atlas Pan-Cancer analysis project

Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.

High-definition imaging of circulating tumor cells and associated cellular events in non-small cell lung cancer patients: a longitudinal analysis

Tumor self-seeding by circulating cancer cells

Design and computational analysis of single-cell RNA-sequencing experiments

P2888

nrc.2017.58

P304

557-569

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1038/NRC.2017.58

http://www.w3.org/2001/XMLSchema#string

P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2017-08-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28835719

http://www.w3.org/2001/XMLSchema#string

Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

about

P2860

P2860

Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P407

P433

P478

P577

P698

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P407

P433

P478

P577

P698