User: Steven Lakin

gravatar for Steven Lakin
Steven Lakin1.3k
Reputation:
1,320
Status:
Trusted
Location:
Fort Collins, CO, USA
Last seen:
4 months, 2 weeks ago
Joined:
2 years, 2 months 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
352
views
1
answers
Comment: C: RNA-Seq expression analysis of heterogeneous data (cancer+healthy cells)
... 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 6 months ago by Steven Lakin1.3k
0
votes
1
answer
352
views
1
answers
Answer: A: RNA-Seq expression analysis of heterogeneous data (cancer+healthy cells)
... 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 6 months ago by Steven Lakin1.3k
0
votes
2
answers
433
views
2
answers
Comment: C: Multivariable linear regression using Limma package; Model Matrix design
... To elaborate on this; don't do this. Do instead '0 + mainEffect1 + covariate1) ...
written 6 months ago by Steven Lakin1.3k
0
votes
2
answers
433
views
2
answers
Comment: C: Multivariable linear regression using Limma package; Model Matrix design
... 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 6 months ago by Steven Lakin1.3k
0
votes
2
answers
433
views
2
answers
Comment: C: Multivariable linear regression using Limma package; Model Matrix design
... Right, which is what we product based on standard logic. Let me know if you're interested in the standard experimental designs. ...
written 6 months ago by Steven Lakin1.3k
0
votes
2
answers
433
views
2
answers
Comment: C: Help with linear regression model design
... 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 6 months ago by Steven Lakin1.3k
3
votes
2
answers
433
views
2
answers
Answer: A: Help with linear regression model design
... 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 6 months ago by Steven Lakin1.3k
0
votes
2
answers
433
views
2
answers
Comment: C: Multivariable linear regression using Limma package; Model Matrix design
... 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 6 months ago by Steven Lakin1.3k
0
votes
2
answers
433
views
2
answers
Answer: A: Multivariable linear regression using Limma package; Model Matrix design
... 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 6 months ago by Steven Lakin1.3k
0
votes
2
answers
309
views
2
answers
Comment: C: Unranked nodes in NCBI's taxonomic tree
... Hi Brian. Do you happen to have a repository for the node pruning tool? It sounds useful. ...
written 6 months ago by Steven Lakin1.3k

Latest awards to Steven Lakin

Teacher 6 months ago, created an answer with at least 3 up-votes. For A: Retrieving specific columns from clinicaltrial.gov using R
Teacher 6 months ago, created an answer with at least 3 up-votes. For A: Retrieving specific columns from clinicaltrial.gov using R
Scholar 6 months ago, created an answer that has been accepted. For A: Allele count from factor variable in R
Teacher 6 months ago, created an answer with at least 3 up-votes. For A: Retrieving specific columns from clinicaltrial.gov using R
Appreciated 6 months ago, created a post with more than 5 votes. For C: Fisher's exact test gives p-value 0
Scholar 6 months ago, created an answer that has been accepted. For A: Allele count from factor variable in R
Teacher 6 months ago, created an answer with at least 3 up-votes. For A: Retrieving specific columns from clinicaltrial.gov using R
Teacher 6 months ago, created an answer with at least 3 up-votes. For A: Retrieving specific columns from clinicaltrial.gov using R
Centurion 6 months ago, created 100 posts.
Scholar 7 months ago, created an answer that has been accepted. For A: Allele count from factor variable in R
Teacher 7 months ago, created an answer with at least 3 up-votes. For A: Retrieving specific columns from clinicaltrial.gov using R
Good Answer 7 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 7 months ago, created a post with more than 5 votes. For C: Fisher's exact test gives p-value 0
Guru 7 months ago, received more than 100 upvotes.
Teacher 7 months ago, created an answer with at least 3 up-votes. For A: Retrieving specific columns from clinicaltrial.gov using R
Teacher 7 months ago, created an answer with at least 3 up-votes. For A: Retrieving specific columns from clinicaltrial.gov using R
Commentator 8 months ago, created a comment with at least 3 up-votes. For C: Fisher's exact test gives p-value 0
Appreciated 10 months ago, created a post with more than 5 votes. For C: Fisher's exact test gives p-value 0
Scholar 12 months ago, created an answer that has been accepted. For A: Allele count from factor variable in R
Appreciated 14 months ago, created a post with more than 5 votes. For C: Fisher's exact test gives p-value 0
Supporter 14 months ago, voted at least 25 times.
Commentator 14 months ago, created a comment with at least 3 up-votes. For C: Fisher's exact test gives p-value 0
Scholar 14 months ago, created an answer that has been accepted. For A: Allele count from factor variable in R
Scholar 14 months ago, created an answer that has been accepted. For A: Allele count from factor variable in R
Teacher 14 months ago, created an answer with at least 3 up-votes. For A: Make 2 boxplot from a data frame by plotting values in 1 row with different col

Help
Access

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.3.0
Traffic: 1252 users visited in the last hour