Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis. - Wikidata - wikimedia - TriplyDB

Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.

Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.

http://www.wikidata.org/entity/Q30975629

about

Mapping paths: new approaches to dissect eukaryotic signaling circuitry Novel technologies and emerging biomarkers for personalized cancer immunotherapy Single-Cell Transcriptomics Bioinformatics and Computational Challenges Metastatic colonization by circulating tumour cells Single-cell gene expression profiling and cell state dynamics: collecting data, correlating data points and connecting the dots Single-cell states versus single-cell atlases - two classes of heterogeneity that differ in meaning and method The end of gating? An introduction to automated analysis of high dimensional cytometry data.Processing, visualising and reconstructing network models from single-cell data.Wishbone identifies bifurcating developmental trajectories from single-cell data.densityCut: an efficient and versatile topological approach for automatic clustering of biological data Automated mapping of phenotype space with single-cell data.Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline Single cell proteomics in biomedicine: High-dimensional data acquisition, visualization and analysis.An Immune Atlas of Clear Cell Renal Cell Carcinoma.Automated cell type discovery and classification through knowledge transfer.Mass Cytometry: Single Cells, Many Features.Chimeric antigen receptor T cell therapy in AML: How close are we?Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput.Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.Regulation of macrophage development and function in peripheral tissues High-Dimensional Analysis of Acute Myeloid Leukemia Reveals Phenotypic Changes in Persistent Cells during Induction Therapy.Single-cell barcoding and sequencing using droplet microfluidics.Increased NK Cell Maturation in Patients with Acute Myeloid Leukemia Of Cytometry, Stem Cells and Fountain of Youth.Parasite genomics-Time to think bigger.Serum-resistant CpG-STAT3 decoy for targeting survival and immune checkpoint signaling in acute myeloid leukemia.PD-1 marks dysfunctional regulatory T cells in malignant gliomas.Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts Single-cell transcriptional analysis of normal, aberrant, and malignant hematopoiesis in zebrafish Phosphoproteomic profiling of mouse primary HSPCs reveals new regulators of HSPC mobilization.High-dimensional single-cell analysis reveals the immune signature of narcolepsy.MLN0128, a novel mTOR kinase inhibitor, disrupts survival signaling and triggers apoptosis in AML and AML stem/ progenitor cells.Single cell immune profiling by mass cytometry of newly diagnosed chronic phase chronic myeloid leukemia treated with nilotinib.Monitoring immune responses in the tumor microenvironment.PhenoGraph and viSNE Facilitate the Identification of Abnormal T-Cell Populations in Routine Clinical Flow Cytometric Data.Acoustical Emission Analysis by Unsupervised Graph Mining: A Novel Biomarker of Knee Health Status.A microfluidic flow cytometer enabling absolute quantification of single-cell intracellular proteins.histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.Flow cytometry in Spermatology: A bright future ahead.High pathogen burden in childhood promotes the development of unconventional innate-like CD8+ T cells.

P2860

Q26740311-878346AB-468A-4449-9192-14C8F2C9BC7A Q26770780-940D4537-940B-4EF7-914D-AB786D92A336 Q28073365-1768D79F-6A6F-44F1-ABD7-46B3E4CB9182 Q28076164-FE700A5E-AEE5-4B90-8527-830C178E30A4 Q28078834-F48B52BF-D7AA-4FDC-8394-1B4905AAC347 Q30277040-BE18F17B-FBD8-4681-BD14-B0ACAD084185 Q31019645-41756C72-679A-4871-89D0-121BA1B581AC Q31024831-06B26FA1-54B3-4D93-9104-DC6372F60FF1 Q31089177-3FD7180F-C2BE-48E6-AB61-4DB064CDB18E Q31092367-36E89565-60AF-4E60-9FDE-F98BB817E9A1 Q31096376-19930F32-00AF-4E69-8718-B37E98F04312 Q31132744-0FDF4D78-0262-430E-9F82-114B997C560C Q31157323-CC0107D4-0A97-4768-B261-CAFD813AF5A3 Q33649707-75A61D6E-9CEB-4570-88F1-D8FF409E307C Q33735437-C4DC6F92-2D0F-4E49-9030-ABA66750BD0D Q34525494-245048A6-5EE4-451B-B6EB-11EF21BAF0B9 Q34545962-4112531C-BAA0-4AF8-8CD8-5E220F90EB36 Q34551107-1096C56D-2A8D-4B7F-A5A3-D28FB365CE12 Q34555562-F448D814-9320-45D2-B52D-B7555266C3C0 Q34674559-54F4241D-EEDE-4663-844B-0CE583EC5D1E Q35988576-E1D97C39-B996-4616-BA19-D326479E4D42 Q36215738-890D717F-9A3C-456C-984C-F5C5AA873E14 Q36256263-3384C2C2-D6D6-4F30-8275-A0520E5414B1 Q36330702-BFC139AD-D6CF-4572-882A-02184650ABC7 Q36351945-366C544A-F540-47E6-B874-B366A1A9AFF1 Q36755491-1893C98C-8D53-422B-9B66-55A79B46DFA0 Q36895616-109663EA-1532-4FB3-B13E-881397B0BA0E Q36938497-7A90C276-30F7-49EE-B9D3-D3C53921EBB1 Q36949940-8F9D6841-80B0-4FDD-B560-0CFB4B8E70ED Q37261185-0F561689-A8D2-4BD6-AEE4-351FD0A9DC2D Q37415263-3718A4EF-3B8B-43B3-8418-18CB71FE3103 Q37688200-ECED976C-574E-40CE-83D3-3A2D2986E4CE Q38376612-805F6543-AC53-4B18-B6E9-081B894B435B Q38380080-68F1C1F3-0D60-4D09-BC09-BAEEC00DD4F4 Q38596976-E84E985A-94F6-4E1A-8AE2-B377436E546D Q38599930-C983E8F2-E0BA-4982-ACEB-3A115EB56831 Q38626065-03F6ACE1-FA65-4A06-8B22-BB9426DD8B5B Q38637165-6C4FC261-5655-4ABD-B4E0-B2A2FACCC3F0 Q38641271-56B8442D-FCE6-46BF-A097-9A0AC6B1400A Q38645940-0D83CC7B-776F-4BF5-B332-2641BBB13113

P2860

Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.

http://www.wikidata.org/entity/Q30975629

description

2015 nî lūn-bûn

@nan

2015 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի հունիսին հրատարակված գիտական հոդված

@hy

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

name

Data-Driven Phenotypic Dissect ...... that Correlate with Prognosis.

@ast

Data-Driven Phenotypic Dissect ...... that Correlate with Prognosis.

@en

type

label

Data-Driven Phenotypic Dissect ...... that Correlate with Prognosis.

@ast

Data-Driven Phenotypic Dissect ...... that Correlate with Prognosis.

@en

prefLabel

Data-Driven Phenotypic Dissect ...... that Correlate with Prognosis.

@ast

Data-Driven Phenotypic Dissect ...... that Correlate with Prognosis.

@en

P1433

Q30975629-98475DBD-4BD0-47EA-8E79-CCABC6C4671C

P1476

Q30975629-628384B1-F2BD-46C8-96CB-5BA434123F2F

P2093

Q30975629-04DFE118-9C04-42CA-884B-1BF84721831D

Q30975629-0B227349-927E-400C-9D33-50A1F2C85A21

Q30975629-0E958311-1DDE-4C19-9F95-F573E1A7656B

Q30975629-16CBF489-F3C9-40AF-933F-913E80CA37C9

Q30975629-3561E7E0-D6E7-4DE9-BD04-9518C0D6E8A8

Q30975629-440C0D6D-5537-4EB3-A236-11CFE18D5C0D

Q30975629-75CD7888-47B2-401E-AF8A-5673C0996AB5

Q30975629-7D0FB777-BF74-465B-99ED-8B0BD085F19A

Q30975629-7E0AAF4B-C7B6-4FB2-983B-192DF9ABA116

Q30975629-905C322B-60F9-48BA-8EB7-A8C751FA12BC

P2860

Q30975629-101193FF-E1DE-4136-9A88-132501010F13

Q30975629-2755DCD9-8797-42C9-9178-799E0D0E657C

Q30975629-289E008D-EED9-4F9E-90A6-7DA0BFC5458A

Q30975629-2B388B18-66E8-48C5-A012-3E36B5704E90

Q30975629-2F2A3FCE-2E9D-4A2A-9376-3C104C8F9752

Q30975629-46D577E4-10A2-4FB5-BF0D-9C131E88EC1F

Q30975629-4A4CFA0E-78D0-42EA-BD3E-ABD4B9ED40CE

Q30975629-56290127-43E6-4AF2-A742-2D9B3E72AD28

Q30975629-6225D66A-8040-4C87-B8CB-F7BE257600DC

Q30975629-6B0FA5D8-5A02-41E7-A608-C96F0684E747

P304

Q30975629-98E6F465-CB44-421E-8901-10EC55D96E46

P31

Q30975629-0AC89F32-DDAE-4B31-B43B-14E70DB64CCB

P356

Q30975629-22BBA78F-641F-47CF-9FD7-3785B90D3D7B

P407

Q30975629-9F295E79-E043-45ED-B7AB-6C84D06D13A1

P433

Q30975629-773C1C33-37B2-4F5A-823E-52C74888DF8E

P478

Q30975629-C28AFB3C-9CC9-47D3-9A5B-BBA807C53A56

P50

Q30975629-8B9E2198-150B-46F7-B3F6-9A57272267D8

Q30975629-E46E8E44-7E1E-4ADA-8170-E251AD1978CB

P577

Q30975629-B45576AE-C765-4AF5-ABE1-D3869FB187E8

P5875

Q30975629-024F85CC-E9C9-4C25-9671-D0FB99CBFC41

P698

Q30975629-95EE2A5D-FEC9-4106-A577-E9F738D1204F

P932

Q30975629-A909E55F-22A2-4B42-87C0-5408E039167C

P356

J.CELL.2015.05.047

P1433

P1476

Data-Driven Phenotypic Dissect ...... that Correlate with Prognosis.

@en

P2093

Amanda L Gedman

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

Astraea Jager

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

Dana Pe'er

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

El-ad D Amir

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

Eli R Zunder

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

Garry P Nolan

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

Harris G Fienberg

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

Ina Radtke

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

Jacob H Levine

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

James R Downing

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

P2860

Community structure in social and biological networks

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum

A human colon cancer cell capable of initiating tumour growth in immunodeficient mice

Human acute myeloid leukemia is organized as a hierarchy that originates from a primitive hematopoietic cell

Prospective identification of tumorigenic prostate cancer stem cells

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

Intra-tumour heterogeneity: a looking glass for cancer?

Critical assessment of automated flow cytometry data analysis techniques.

Normalization of mass cytometry data with bead standards.

P304

184-197

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

P31

scholarly article

P356

10.1016/J.CELL.2015.05.047

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

P407

P433

1

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

P478

162

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

P50

P577

2015-06-18T00:00:00Z

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

P5875

279067862

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

P698

26095251

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

P932

4508757

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