Combination of automated high throughput platforms, flow cytometry, and hierarchical clustering to detect cell state-Reference-Cited by-同舟云学术

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Combination of automated high throughput platforms, flow cytometry, and hierarchical clustering to detect cell state

Published:2007-01 Issue:1 Volume:71A Page:16-27
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Kitsos Christine M.,Bhamidipati Phani,Melnikova Irena,Cash Ethan P.,McNulty Chris,Furman Julia,Cima Michael J.,Levinson Douglas

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference58 articles.

1. Improvement of “Hit-to-Lead” Optimization by Integration of in Vitro HTS Experimental Models for Early Determination of Pharmacokinetic Properties

2. Application of High-throughput Screening Techniques to Drug Discovery

3. The History and Future of the Fluorescence Activated Cell Sorter and Flow Cytometry: A View from Stanford

4. Gene Assessment and Sample Classification for Gene Expression Data Using a Genetic Algorithm / k-nearest Neighbor Method

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1. A Multiplexed Screening Assay to Evaluate Chemotherapy-Induced Myelosuppression Using Healthy Peripheral Blood and Bone Marrow;SLAS DISCOVERY: Advancing the Science of Drug Discovery;2018-06-04

2. Laser flow cytometry as a tool for the advancement of clinical medicine;Biomedicine & Pharmacotherapy;2017-01

3. Computationally efficient multidimensional analysis of complex flow cytometry data using second order polynomial histograms;Cytometry Part A;2015-06-11

4. Knowledge Discovery in Biomedical Data: Theory and Methods;Methods in Biomedical Informatics;2014

5. Automating flow cytometry;Cytometry Part A;2011-12-28

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