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S Joshua Swamidass, MD PhD

S Joshua Swamidass, MD PhD. Division of Laboratory and Genomic Medicine ( LGM. Department of Pathology and Immunology ( PI. Washington University in St. Louis ( WU. Barnes Jewish Hospital ( BJH. Computational and Systems Biology ( CSB. Computer Science and Engineering ( CSE. Biomedical Engineering ( BME. The Broad Institute of MIT/Harvard ( BI. Modeling Epoxidation of Drug-like Molecules with a Deep Machine Learning Network. Published online in Bioinformatics in February 2015.

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S Joshua Swamidass, MD PhD | swami.wustl.edu Reviews
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S Joshua Swamidass, MD PhD. Division of Laboratory and Genomic Medicine ( LGM. Department of Pathology and Immunology ( PI. Washington University in St. Louis ( WU. Barnes Jewish Hospital ( BJH. Computational and Systems Biology ( CSB. Computer Science and Engineering ( CSE. Biomedical Engineering ( BME. The Broad Institute of MIT/Harvard ( BI. Modeling Epoxidation of Drug-like Molecules with a Deep Machine Learning Network. Published online in Bioinformatics in February 2015.
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1 curriculum vitae
2 research
3 blog
4 policy
5 group
6 courses
7 statistics
8 citation hughes
9 xenosite regions
10 previous
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S Joshua Swamidass, MD PhD | swami.wustl.edu Reviews

https://swami.wustl.edu

S Joshua Swamidass, MD PhD. Division of Laboratory and Genomic Medicine ( LGM. Department of Pathology and Immunology ( PI. Washington University in St. Louis ( WU. Barnes Jewish Hospital ( BJH. Computational and Systems Biology ( CSB. Computer Science and Engineering ( CSE. Biomedical Engineering ( BME. The Broad Institute of MIT/Harvard ( BI. Modeling Epoxidation of Drug-like Molecules with a Deep Machine Learning Network. Published online in Bioinformatics in February 2015.

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Modeling Epoxidation of Drug-like Molecules with a Deep Machine Learning Network | S. Joshua Swamidass, MD PhD

http://swami.wustl.edu/modeling-epoxidation-of-drug-like-molecules-with-a-deep-machine-learning-network

S Joshua Swamidass, MD PhD. Modeling Epoxidation of Drug-like Molecules with a Deep Machine Learning Network. June 10, 2015. Modeling Epoxidation of Drug-like Molecules with a Deep Machine Learning Network. Tyler B. Hughes, Grover P. Miller, and S. Joshua Swamidass. DOI: 10.1021/acscentsci.5b00131. Http:/ pubs.acs.org/doi/abs/10.1021/acscentsci.5b00131. 8220;First Reaction” to publication, by Dr. Amit Kalgutkar of Pfizer:. Http:/ pubs.acs.org/doi/abs/10.1021/acscentsci.5b00231. Minor Update to Figure 10.

2

XenoSite Regions | S. Joshua Swamidass, MD PhD

http://swami.wustl.edu/xregion

S Joshua Swamidass, MD PhD. February 9, 2015. Published online in Bioinformatics in February 2015. Extending P450 Site-of-Metabolism Models with Region-Resolution Data. Jed Zaretzki, Michael Browning, Tyler B. Hughes, S. Joshua Swamidass. The XenoSite webserver is available at http:/ swami.wustl.edu/xenosite. The code and data is available at https:/ bitbucket.org/swamidass/xenosite-region/. Click to share on Twitter (Opens in new window). Click to share on Facebook (Opens in new window). You must log in.

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Statistics Archives | S. Joshua Swamidass, MD PhD

http://swami.wustl.edu/category/courses/statistics

S Joshua Swamidass, MD PhD. Statistics for Clinical Pathology Residents. April 30, 2012. I am an assistant professor in the Laboratory and Genomic Medicine Division at Washington University in St Louis. My research focuses using computational methods solve problems at the intersection of medicine, chemistry and biology. Laboratory and Genomic Medicine. Department of Pathology and Immunology. Washington University in St. Louis. Computational and Systems Biology (CSB). Computer Science and Engineering (CSE).

4

Site of Reactivity Models Predict Molecular Reactivity of Diverse Chemicals with Glutathione | S. Joshua Swamidass, MD PhD

http://swami.wustl.edu/reactivity

S Joshua Swamidass, MD PhD. Site of Reactivity Models Predict Molecular Reactivity of Diverse Chemicals with Glutathione. March 10, 2015. Hughes, Tyler B., Grover Paul Miller, and S. Joshua Swamidass. “Site of Reactivity Models Predict Molecular Reactivity of Diverse Chemicals with Glutathione.”. Chemical Research in Toxicology. Http:/ pubs.acs.org/doi/abs/10.1021/acs.chemrestox.5b00017. Click to share on Twitter (Opens in new window). Click to share on Facebook (Opens in new window). You must log in.

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Combined Analysis of Phenotypic and Target-Based Screening in Assay Networks | S. Joshua Swamidass, MD PhD

http://swami.wustl.edu/combined-analysis-of-phenotypic-and-target-based-screening-in-assay-networks

S Joshua Swamidass, MD PhD. Combined Analysis of Phenotypic and Target-Based Screening in Assay Networks. April 15, 2014. Swamidass, S. J., Schillebeeckx, C. N., Matlock, M., Hurle, M. R., and Agarwal, P. (2014). Combined Analysis of Phenotypic and Target-Based Screening in Assay Networks. Journal of biomolecular screening. Small-molecule screens are an integral part of drug discovery. Public domain data in PubChem alone represent more than. Http:/ jbx.sagepub.com/content/early/2014/02/20/1087057...Click...

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Common Ground in the Evolution Debate? - Peaceful Science

http://peacefulscience.org/common-ground-year-1

The 100 Year Old Tree. Finding confident faith in a scientific world…. The 100 Year Old Tree. Common Ground: Year 1. November 8, 2016. Over the next two years, we aim to find common ground in the origin debates. The Inquiry Into Common Ground is directed by Dr. S. Joshua Swamidass. Housed at Washington University. And administered by Saint Louis campus ministries ( Intervarsity. Even though we do not agree with or endorse all positions, we believe dialogue is important, and common ground exists. Is a lea...

machinelearning.wustl.edu machinelearning.wustl.edu

Machine Learning @ Wash U. Main/Faculty

http://machinelearning.wustl.edu/pmwiki.php/Main

Machine Learning @ Wash U. Kilian Q. Weinberger. Edwin T. Jaynes. Current Ph.D. Students. A list of machine learning courses offered. Page last modified on August 20, 2015, at 04:56 PM. Theme adapted by David Gilbert.

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Seminars

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Skip to main navigation. Skip to first column. Skip to second column. April 18, 2016. Learning to Diagnose with LSTM Recurrent Neural Networks". November 2, 2015. Department of Applied Physics. The Statistical Physics of Deep Learning: on the Beneficial Roles of Dynamic Criticality, Random Landscapes, and the Reversal of Time". March 30, 2015. Department of Computer Science. The Ebb and Flow of Deep Learning: a Theory of Local Learning". January 26, 2015. Do Deep Models Really Need to Be Deep". The Hodgk...

machinelearning.wustl.edu machinelearning.wustl.edu

Machine Learning @ Wash U. Main/Faculty

http://machinelearning.wustl.edu/pmwiki.php/Main/Faculty

Machine Learning @ Wash U. Kilian Q. Weinberger. Edwin T. Jaynes. Current Ph.D. Students. A list of machine learning courses offered. Page last modified on August 20, 2015, at 04:56 PM. Theme adapted by David Gilbert.

peacefulscience.org peacefulscience.org

History of Science - Peaceful Science

http://peacefulscience.org/history-of-science

The 100 Year Old Tree. Finding confident faith in a scientific world…. The 100 Year Old Tree. August 3, 2016. The original caption of the Flammarion engraving states, "A medieval missionary tells that he has found the point where heaven and Earth meet.". Ientific education includes almost no exposure to the history and philosophy of science. Most scientists know very little about science’s history outside the recent history of their narrow discipline. Scientists, however, are very curious about t...By Ro...

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Inquiry Into Common Ground - Peaceful Science

http://peacefulscience.org/inquiry-into-common-ground

The 100 Year Old Tree. Finding confident faith in a scientific world…. The 100 Year Old Tree. Inquiry Into Common Ground. August 7, 2016. We are pleased to announce the award of a $25,000 grant for two years. With this grant, we aim to define common ground in the origin debates. This grant was awarded by the STEAM project. Which has funding from the John Templeton Foundation. This grant is directed by Dr. S. Joshua Swamidass. And be administered by Saint Louis campus ministries ( Intervarsity. These even...

cbse.wustl.edu cbse.wustl.edu

CBSE: People

http://cbse.wustl.edu/people.html

Professor of Biomedical Engineering, Director of CBSE. Computational Biophysics and Molecular Engineering. Professor of Biomedical Engineering. Computational and theoretical image science. Assistant Professor of Pathology and Immunology. Assistant Professor of Biomedical Engineering. Assistant Professor of Biomedical Engineering. Post-translational modifications in cell signaling networks. Assistant Professor of Biomedical Engineering. Systems Neuroscience and Neuromorphic Engineering.

machinelearning.wustl.edu machinelearning.wustl.edu

Machine Learning @ Wash U. Main/Faculty

http://machinelearning.wustl.edu/pmwiki.php

Machine Learning @ Wash U. Kilian Q. Weinberger. Edwin T. Jaynes. Current Ph.D. Students. A list of machine learning courses offered. Page last modified on August 20, 2015, at 04:56 PM. Theme adapted by David Gilbert.

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S Joshua Swamidass, MD PhD. Division of Laboratory and Genomic Medicine ( LGM. Department of Pathology and Immunology ( PI. Washington University in St. Louis ( WU. Barnes Jewish Hospital ( BJH. Computational and Systems Biology ( CSB. Computer Science and Engineering ( CSE. Biomedical Engineering ( BME. The Broad Institute of MIT/Harvard ( BI. Modeling Epoxidation of Drug-like Molecules with a Deep Machine Learning Network. Published online in Bioinformatics in February 2015.

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