Junshu bao

Distortion product otoacoustic emissions DPOAE testing is a promising alternative to behavioral hearing tests and auditory brainstem junshu bao testing of pediatric cancer patients.

Worked with fellow peers at University of Pittsburgh under supervision of Dr. The purpose of this project was to do a Differential Gene Expression Analysis on a Dexamethasone Treatment data set and incorporate Machine Learning to predict which genes could be differentially expressed. We specifically used files GSM Dexamethasone specifically affects cell growth and can cause apoptosis cell death as specified here. Final PDF file outputted from knitting the source code. Contains all goals, steps, explanations of procedure for this research. Skip to content.

Junshu bao

Junshu Bao in Fall semester of Some pdf files come with Rmd R Markdown source code files while others do not. The Rmd files are added as supplementary material. For those unfamiliar with R Markdown, the source code is converted into a pdf file which contains the final, well-formatted and fully visualized work. For those that are confused about data science, please be sure to check the link associated with this repository. Contains multiple files showing various data visualizations using packages such as ggplot as well as the generic plot built-in R function. There are many examples of linear models as well as colorful schematics for how data can be well visualized. The purpose of these is to peak an audience's interest all while empowering the message behind the data. Starting from reasonably easy difficulty and ending with hard, this folder utilizes many different data sets to create meaningful, usable data from very messy origins. The process of this transformation can be accomplished by data tidying and wrangling. This was accomplished using the packages dplyr , tidyr , tidyverse and mdsr. Files inside this folder relate to creation of many types of stastical models to leverage and validate meaningful data from messy data sets. Bootstrapping was also employed on several occassions.

Reload to refresh your session. Bao is an amazing and kind professor.

Overall Quality Based on 50 ratings. Junshu Bao. Professor in the Statistics department at University of Pittsburgh. Rate Compare. I'm Professor Bao. Professor Bao's Top Tags. Check out Similar Professors in the Statistics Department 5.

Department of Statistics SC. Recent Ph. Challenge the conventional. Create the exceptional. No Limits. Statistical methods for analyzing dependence structures with applications in single-cell experiments. Statistical methods for analyzing multi-omics data: Dependence structure and missing values. Deep learning, clustering, and decision process approaches for modeling time series data. Using concurrent functional regression to reconstruct river stage data during flood events and identify influential functional measurements.

Junshu bao

Statistics knowledge at the level of STAT or above. No prior knowledge of programming required. Any student suspected of violating this obligation for any reason during the semester will be required to participate in the procedural process, initiated at the instructor level, as outlined in the University Guidelines on Academic Integrity. This may include, but is not limited to, the confiscation of the examination of any individual suspected of violating University Policy. Furthermore, no student may bring any unauthorized materials to an exam, including dictionaries and programmable calculators. To learn more about Academic Integrity, visit the Academic Integrity Guide for an overview of the topic. For hands-on practice, complete the Understanding and Avoiding Plagiarism tutorial. These materials may be protected by copyright. United States copyright law, 17 USC section , et seq.

Muchas felicidades hermanita

If you do not have passion for statistics and programming you may find it hard to learn in this class, but overall the homework is applicable and she is kind. Contains all goals, steps, explanations of procedure for this research. Branches Tags. Bao is a good prof who really cares about her students. The process of this transformation can be accomplished by data tidying and wrangling. Mar 27th, Lots of homework Amazing lectures Caring. Dec 2nd, May 17th, Jun 25th, Dec 6th, Data Tidying and Wrangling. Packages used include mdsr , tidyverse , tidyr and broom. Bao is absolutely amazing. Take her class!!

Overall Quality Based on 50 ratings.

May 9th, This is accomplished through the construction of normal reference charts, or credible regions, that DP-gram differences lie in, as well as contour probabilities that measure how abnormal or in a certain sense rare a test-retest difference is. Files inside relate to both Machine Learning as well as in-depth results of multiple linear regression. Contains all goals, steps, explanations of procedure for this research. Despite this being the first time Bao is teaching , she did an amazing job at teaching. A challenge is that the data were collected over varying frequencies, at different time points from baseline, and on possibly one or both ears. Class consisted of one weekly homework and an occasional quiz. Jun 11th, Last commit date. Bao is one of my favorite professors in the stats department. The packages used for this section were glmnet , rpart , rpart.