Detalhe da pesquisa
1.
High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation.
Nat Immunol
; 21(1): 86-100, 2020 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31844327
2.
flowSim: Near duplicate detection for flow cytometry data.
Cytometry A
; 103(11): 889-901, 2023 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-37530476
3.
flowCut: An R package for automated removal of outlier events and flagging of files based on time versus fluorescence analysis.
Cytometry A
; 103(1): 71-81, 2023 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35796000
4.
Automated identification of maximal differential cell populations in flow cytometry data.
Cytometry A
; 101(2): 177-184, 2022 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34559446
5.
The miR-185/PAK6 axis predicts therapy response and regulates survival of drug-resistant leukemic stem cells in CML.
Blood
; 136(5): 596-609, 2020 07 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-32270193
6.
Data File Standard for Flow Cytometry, Version FCS 3.2.
Cytometry A
; 99(1): 100-102, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32881398
7.
ISAC Probe Tag Dictionary: Standardized Nomenclature for Detection and Visualization Labels Used in Cytometry and Microscopy Imaging.
Cytometry A
; 99(1): 103-106, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32881392
8.
Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition).
Eur J Immunol
; 49(10): 1457-1973, 2019 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-31633216
9.
Single Cell Phenotypic Profiling of 27 DLBCL Cases Reveals Marked Intertumoral and Intratumoral Heterogeneity.
Cytometry A
; 97(6): 620-629, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-31637838
10.
Improving the Quality and Reproducibility of Flow Cytometry in the Lung. An Official American Thoracic Society Workshop Report.
Am J Respir Cell Mol Biol
; 61(2): 150-161, 2019 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-31368812
11.
ddPCRclust: an R package and Shiny app for automated analysis of multiplexed ddPCR data.
Bioinformatics
; 34(15): 2687-2689, 2018 08 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29534153
12.
flowLearn: fast and precise identification and quality checking of cell populations in flow cytometry.
Bioinformatics
; 34(13): 2245-2253, 2018 07 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29462241
13.
Implementation and Validation of an Automated Flow Cytometry Analysis Pipeline for Human Immune Profiling.
Cytometry A
; 95(2): 183-191, 2019 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-30570217
14.
Thinking outside the gate: single-cell assessments in multiple dimensions.
Immunity
; 42(4): 591-2, 2015 Apr 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-25902473
15.
High throughput automated analysis of big flow cytometry data.
Methods
; 134-135: 164-176, 2018 02 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29287915
16.
Methodology for evaluating and comparing flow cytometers: A multisite study of 23 instruments.
Cytometry A
; 93(11): 1087-1091, 2018 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-30244531
17.
Evaluating flow cytometer performance with weighted quadratic least squares analysis of LED and multi-level bead data.
Cytometry A
; 91(3): 232-249, 2017 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-28160404
18.
Critical assessment of automated flow cytometry data analysis techniques.
Nat Methods
; 10(3): 228-38, 2013 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-23396282
19.
flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification.
Bioinformatics
; 31(4): 606-7, 2015 Feb 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-25378466
20.
Deep profiling of multitube flow cytometry data.
Bioinformatics
; 31(10): 1623-31, 2015 May 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-25600947