All decks

  • treeheatr: an R package for interpretable decision tree visualizations

    15-min show-and-tell at RLadies Philly, Sep 2020 https://github.com/trang1618/treeheatr https://trang1618.github.io/treeheatr/

    Created Sep 12th, 2020 48 0

  • Ensuring Fairness in Machine Learning to Advance Health Equity

    Kim lab journal club, 2020-08-27

    Created Aug 26th, 2020 41 0

  • treeheatr: an R package for interpretable decision tree visualizations

    R/Medicine 2020 lightning talk https://github.com/trang1618/treeheatr https://trang1618.github.io/treeheatr/

    Created Jul 30th, 2020 538 2

  • Take a sad chart and make it better

    Miscellaneous collection of visualizations for academic papers.

    Created Jul 18th, 2020 112 0

  • Analysis of ISCB honorees and keynotes reveals disparities

    Talk at Virtual ISMB 2020

    Created Jun 10th, 2020 240 0

  • Tree-based automated machine learning for analyzing biomedical big data

    Presentation recorded on 2020-06-10 at GECCO, virtual conference

    Created May 31st, 2020 164 0

  • Good enough practices in scientific computing

    Kim lab journal club, 2020-06-11

    Created May 28th, 2020 111 0

  • Differential privacy

    Guest lecture for Penn BMIN 520-401 course, Spring 2020

    Created Apr 2nd, 2020 120 0

  • Climate change on women's health

    Presentation on 2020-03-12 for the journal club, Kim Lab.

    Created Mar 6th, 2020 203 0

  • Information Theory

    Guest lecture for Penn BMIN 520-401 course, Spring 2020

    Created Mar 4th, 2020 300 1

  • Multilocus risk scores

    Presentation on 2020-02-24 at BIOSTEC, Bioinformatics

    Created Feb 18th, 2020 361 0

  • Random walk, Markov chain and Brownian motion

    Guest lecture for Penn BMIN 520-401 course, Spring 2020

    Created Dec 18th, 2019 282 0

  • Supervised learning in R: caret to streamline the model building process

    Presentation on 2019-12-02 at R Ladies Philly Meetup

    Created Nov 4th, 2019 530 1

  • Detect network interactions while controling for confounders

    Presentation on 2019-12-06 at Rocky Mountain Bioinformatics Conference

    Created Oct 22nd, 2019 273 0

  • Basic statistics review

    Presentation on 2019-11-14, Moore lab Lunch&Learn

    Created Oct 3rd, 2019 144 0

  • Integrate multi-omics data during the first week of life

    Presentation on 2019-09-12 for the journal club, Kim Lab.

    Created Aug 21st, 2019 252 0

  • What's new in TPOT

    Presentation on 2019-07-01, Moore lab Lunch&Learn

    Created Jun 18th, 2019 191 0

  • K99-2019

    Figures presented in my grant proposal.

    Created Jun 10th, 2019 180 0

  • BrainAGE MS

    Presentation on 2019-05-21 for the journal club, Kim Lab.

    Created May 9th, 2019 183 0

  • Flash CV

    A 5-minute presentation to briefly introduce my work in joint lab meeting with Li Shen and Yong Chen.

    Created Apr 11th, 2019 202 0

  • TPOT: An Overview

    Presentation on 2019-03-14 at IBI Clinical Research Informatics Core

    Created Feb 21st, 2019 458 0

  • Scalable Automated Machine Learning

    Presentation on 2018-12-21 at AI Therapeutics.

    Created Dec 9th, 2018 237 0

  • i-mab

    Lightning talk on 2018-04-10 for DBEI and CCEB First Annual Research Day.

    Created Nov 30th, 2018 179 0

  • BrainAGE and ibuprofen

    Created Nov 29th, 2018 199 0

  • Manubot

    Presentation on 2018-11-12 for the Moore Lab's Lunch&Learn.

    Created Nov 7th, 2018 445 0

  • Paper discussion: The personal and clinical utility of polygenic risk scores ​

    Presentation on 2018-10-01 for the joint Lunch&Learn between the Moore Lab and Ritchie Lab.

    Created Jul 25th, 2018 396 0