## User: Steven Lakin

Steven Lakin •

**1.3k**- Reputation:
**1,340**- Status:
- Trusted
- Location:
- Fort Collins, CO, USA
- Last seen:
- 2 months, 2 weeks ago
- Joined:
- 3 years ago
- Email:
- S***********@colostate.edu

Veterinary/PhD student at Colorado State University. My research applies statistics and machine learning to problems in biomedical science and public health. My computational experience is in data mining/data science, statistics, machine learning, bioinformatics algorithms, programming, genomics, and transcriptomics. Wetlab experience includes NGS library prep, PCR, and culture-based methods. Interests include pathogenesis of infectious disease, antimicrobial resistance, public health, and epidemiology.

https://github.com/lakinsm

#### Posts by Steven Lakin

<prev
• 117 results •
page 1 of 12 •
next >

1

vote

1

answer

643

views

1

answers

... DESeq2 as well as other differential gene expression pipelines call some kind of glm as a subroutine (lm would be inappropriate here, since it's only linear. You want something more robust, based on count distributions); DESeq is largely based on the negative binomial distribution and will take int ...

written 16 months ago by
Steven Lakin •

**1.3k**0

votes

1

answer

643

views

1

answers

... In your metadata file, record the percentage of cancer cells for each sample and have that as one of your factors for analysis. Regression is used in differential gene expression analysis to calculate eventual log-fold change, so if you regress on your % of cancer cells, you'll hopefully capture th ...

written 16 months ago by
Steven Lakin •

**1.3k**0

votes

2

answers

1.2k

views

2

answers

... To elaborate on this; don't do this.
Do instead '0 + mainEffect1 + covariate1) ...

written 16 months ago by
Steven Lakin •

**1.3k**1

vote

2

answers

1.2k

views

2

answers

... Standard regression analysis for count data is based on modeling expression values as a function of explanatory variables that are part of the experimental design:
y ~ 0 + effect1 + effect2 + (1 | effect 3)
For example. Typically, we want to explain the expression values as a function of some sys ...

written 16 months ago by
Steven Lakin •

**1.3k**0

votes

2

answers

1.2k

views

2

answers

... Right, which is what we product based on standard logic. Let me know if you're interested in the standard experimental designs. ...

written 16 months ago by
Steven Lakin •

**1.3k**0

votes

2

answers

796

views

2

answers

... What you did in your very first design (not this answer), where you found no DE genes, was correct. What you've done above is incorrect; stick with your intuition on this one. It's not uncommon for groups to be insignificant on DE analysis, especially with cancer expression analysis. ...

written 16 months ago by
Steven Lakin •

**1.3k**3

votes

2

answers

796

views

2

answers

... It's nice that you were able to see that the pairwise analyses in DESeq and limma are equivalent to regression and then fitting on the contrasts by hand; they are exactly the same process, only DESeq and limma handle them for you in the background if you specify the model in the way you originally d ...

written 16 months ago by
Steven Lakin •

**1.3k**0

votes

2

answers

1.2k

views

2

answers

... I think I understand what you're trying to do now. Apologies; it is the first time I've seen someone request this in bioinformatics, as it is somewhat strange to model this way. What you will have to do is construct your model matrix like so (this assumes your probe matrix is, by native format, in ...

written 16 months ago by
Steven Lakin •

**1.3k**1

vote

2

answers

1.2k

views

2

answers

... Programs like Limma force the gene expression values to be the response variable because that is the correct way to model it:
lmFit(probe_matrix, design = model.matrix( ~ 0 + Disease phenotype + covariate )
This will calculate regression coefficients for disease phenotype and the covariate as ...

written 16 months ago by
Steven Lakin •

**1.3k**0

votes

2

answers

670

views

2

answers

... Hi Brian. Do you happen to have a repository for the node pruning tool? It sounds useful. ...

written 16 months ago by
Steven Lakin •

**1.3k**#### Latest awards to Steven Lakin

Appreciated
14 months ago,
created a post with more than 5 votes.
For C: Fisher's exact test gives p-value 0

Good Answer
14 months ago,
created an answer that was upvoted at least 5 times.
For A: Is it OK to select a small subset of expression data for statistical testing?

Teacher
16 months ago,
created an answer with at least 3 up-votes.
For A: Retrieving specific columns from clinicaltrial.gov using R

Teacher
16 months ago,
created an answer with at least 3 up-votes.
For A: Retrieving specific columns from clinicaltrial.gov using R

Scholar
16 months ago,
created an answer that has been accepted.
For A: Allele count from factor variable in R

Teacher
16 months ago,
created an answer with at least 3 up-votes.
For A: Retrieving specific columns from clinicaltrial.gov using R

Appreciated
16 months ago,
created a post with more than 5 votes.
For C: Fisher's exact test gives p-value 0

Scholar
16 months ago,
created an answer that has been accepted.
For A: Allele count from factor variable in R

Centurion
16 months ago,
created 100 posts.

Scholar
17 months ago,
created an answer that has been accepted.
For A: Allele count from factor variable in R

Teacher
17 months ago,
created an answer with at least 3 up-votes.
For A: Retrieving specific columns from clinicaltrial.gov using R

Good Answer
17 months ago,
created an answer that was upvoted at least 5 times.
For A: Is it OK to select a small subset of expression data for statistical testing?

Appreciated
17 months ago,
created a post with more than 5 votes.
For C: Fisher's exact test gives p-value 0

Guru
17 months ago,
received more than 100 upvotes.

Teacher
17 months ago,
created an answer with at least 3 up-votes.
For A: Retrieving specific columns from clinicaltrial.gov using R

Teacher
17 months ago,
created an answer with at least 3 up-votes.
For A: Retrieving specific columns from clinicaltrial.gov using R

Commentator
18 months ago,
created a comment with at least 3 up-votes.
For C: Fisher's exact test gives p-value 0

Appreciated
20 months ago,
created a post with more than 5 votes.
For C: Fisher's exact test gives p-value 0

Scholar
22 months ago,
created an answer that has been accepted.
For A: Allele count from factor variable in R

Appreciated
24 months ago,
created a post with more than 5 votes.
For C: Fisher's exact test gives p-value 0

Supporter
24 months ago,
voted at least 25 times.

Commentator
24 months ago,
created a comment with at least 3 up-votes.
For C: Fisher's exact test gives p-value 0

Scholar
2.0 years ago,
created an answer that has been accepted.
For A: Allele count from factor variable in R

Use of this site constitutes acceptance of our User
Agreement
and Privacy
Policy.

Powered by Biostar
version 2.3.0

Traffic: 1272 users visited in the last hour