| layout | page |
|---|---|
| title | Talks |
- Jeff: What can we (& you) learn about RNA from 70,000 (human) samples? (OHSU)
- Jeff: What can we (& you) learn about RNA from 70,000 (human) samples?
- Jeff: Data Science as a Science
- Jeff: What can we learn about RNA from 70,000 (human) samples?
- Jeff: Is most published research really false?
- Jeff: Re-annotating the human transcriptome with recount
- Jeff: Is the p-value really the problem?
- Jeff: Data science as a science
- Jeff: JHU Data Science MOOCs - behind the scenes
- Jeff: Fixing the leaks in the pipeline from public genomics data to the clinic
- Jeff: Evidence based data analysis (NAS workshop on statistical reproducibility)
- Jeff: We are all statisticians now (Rome Science Festival)
- Alyssa: High-resolution gene expression analysis (PhD thesis defense)
- Leo: Dissecting human brain development at high resolution using RNA-seq (ENAR 2015)
- Jeff: We are all statisticians now
- Jeff: Big data and reproducibility
- Alyssa: Adventures in Computational Biology
- Jeff: Data science education at JHSPH
- Jeff: Statisticians and big data
- Alyssa: Engineering new tools for differential expression analysis
- Jeff: 10 things statistics taught us about big data
- Jeff: Genomics at JHU Biostats
- Jeff: The world's largest data science program: The Johns Hopkins Data Science Specialization
- Jeff: JHU Job Talk (2009)