User profiles for Joshua D. Kangas

Joshua D. Kangas

Assistant Teaching Professor, Carnegie Mellon University
Verified email at andrew.cmu.edu
Cited by 631

Active machine learning-driven experimentation to determine compound effects on protein patterns

AW Naik, JD Kangas, DP Sullivan, RF Murphy - Elife, 2016 - elifesciences.org
10.7554/eLife.10047.001 High throughput screening determines the effects of many conditions
on a given biological target. Currently, to estimate the effects of those conditions on other …

Determining the subcellular location of new proteins from microscope images using local features

LP Coelho, JD Kangas, AW Naik… - …, 2013 - academic.oup.com
Motivation: Evaluation of previous systems for automated determination of subcellular
location from microscope images has been done using datasets in which each location class …

Efficient discovery of responses of proteins to compounds using active learning

JD Kangas, AW Naik, RF Murphy - BMC bioinformatics, 2014 - Springer
Background Drug discovery and development has been aided by high throughput screening
methods that detect compound effects on a single target. However, when using focused …

Efficient modeling and active learning discovery of biological responses

AW Naik, JD Kangas, CJ Langmead, RF Murphy - PLoS One, 2013 - journals.plos.org
High throughput and high content screening involve determination of the effect of many
compounds on a given target. As currently practiced, screening for each new target typically …

10 simple rules for teaching wet-lab experimentation to computational biology students, ie, turning computer mice into lab rats

JC Ayoob, JD Kangas - PLoS Computational Biology, 2020 - journals.plos.org
Graduate students in computational biology have strong quantitative backgrounds but are
often quite limited in their understanding of the theory, approach, and practice of biological …

A method for characterizing phenotypic changes in highly variable cell populations and its application to high content screening of Arabidopsis thaliana protoplasts

GR Johnson, JD Kangas, A Dovzhenko… - Cytometry Part …, 2017 - Wiley Online Library
Quantitative image analysis procedures are necessary for the automated discovery of effects
of drug treatment in large collections of fluorescent micrographs. When compared to their …

Titrating‐delay matching‐to‐sample in the pigeon

BD Kangas, M Vaidya… - Journal of the Experimental …, 2010 - Wiley Online Library
… Correspondence concerning this article can be directed to Brian D. Kangas, at the
Department of Psychology, University of Florida, PO Box 112250, Gainesville, FL 32611 (e-mail: […

An Assessment of Frontal Lobe Activity and BDNF Levels Following Concussion in Collegiate Athletes: A Near-Infrared Spectroscopy Study

KJ Kangas - 2017 - search.proquest.com
Joshua Carlson. The first aim of the larger study is to assess the extent to which NIRS can
be used to assess frontal lobe activity in patients with concussion. A range of concussive …

[BOOK][B] Active Learning for Drug Discovery

J Kangas, GK Rohde, J Schneider, DL Taylor - 2013 - reports-archive.adm.cs.cmu.edu
The use of high throughput screening methods has aided the drug discovery process allowing
for the testing of numerous compounds for effects on a single target protein. However, by …

Patient-centric Discovery by Active Learning (PeDAL) platform to predict drug response in a heterogeneous patient population

RJ Montgomery, AW Gilkey, JD Kangas… - Cancer …, 2023 - aacrjournals.org
Even after thorough preclinical testing, only 5% of oncology drug candidates entering clinical
trials ultimately get approved for use in patients. To find one drug that will be effective in the …