Research biostatistician @sloan_kettering. Specialize in machine learning for predictive genomics. Interested in causal inference methods for ITRs.
New York, NY
Joined April 2019
- Tweets130
- Following527
- Followers248
- Likes2.7K
Axel Martin retweeted
After pulling & QAing #genomics data, the {gnomeR} package (by @Hannah_Fuchs1, @arorarshi, @CLaunderer, @karissawhiting, Mike Curry and more) helps #rstats analysts process it into an analysis-ready format.
Docs: mskcc-epi-bio.github.io/gnom…
#rstats examples below 👇🧵
Axel Martin retweeted
Today I want to highlight the {genieBPC} #rstats package by @jessicalavs, @sammi_brown8, @Hannah_Fuchs1, @CLaunderer, @statistishdan, and myself (@karissawhiting).
It offers functions for pulling and processing data from the @AACR GENIE BPC Project genie-bpc.github.io/genieBPC… #cran
Axel Martin retweeted
✨A new release of {cbioportalR} v1.1.0 is now available on CRAN!
{cbioportalR} provides #rstats users with user-friendly functions for direct access to genomic and clinical data from the @cbioportal web resource. karissawhiting.com/cbioporta…
Updates include: 🧵
Axel Martin retweeted
📢🔥🚨#MSKBiostats @MSKCancerCenter is #hiring a #statistics immuno-oncology postdoc
🔗tinyurl.com/msk-postdoc02
📩A cover letter, cv, and the names of 3⃣references to Dr. Ronglai Shen ([email protected])
📌Successful applicant will be supervised by Drs. @ronglais & @KPanageas
#WeAreHiring a #statistics immuno-oncology postdoc at #MSKBiostats!
To apply, send (1) cover letter, (2) CV, and (3) names of 3 references to Dr. Ronglai Shen ([email protected])
careers.mskcc.org/vacancies/…
Axel Martin retweeted
🎉👏 #MSKBiostats @jessicalavs, @sammi_brown8, Mike Curry, @CLaunderer, @statistishdan & @karissawhiting recently developed {genieBPC}, a user-friendly #rstats package for processing complex clinico-genomic data from @AACR Project #genieBPC
academic.oup.com/bioinformat…
Axel Martin retweeted
👀We spy {genieBPC} on this list! #MSKBiostats @jessicalavs, @sammi_brown8, Mike Curry, @karissawhiting, @CLaunderer & @statistishdan collaborated on the {genieBPC} R package, a data processing pipeline for working with the @AACR #GENIEBPC data
genie-bpc.github.io/genieBPC…
Axel Martin retweeted
Do you work with #genomics data for cancer research?
📢 Check out the first CRAN release of the {cbioportalR} #RStats package to browse and pull @cbioportal data sets directly in R.
Examples & docs: karissawhiting.com/cbioporta…
Feedback Welcome: github.com/karissawhiting/cb…
Axel Martin retweeted
📅 Join us for the next #MSKBiostats seminar next Wed 5/4/2022 10;30am ET with guest speaker @ildiazm on Causal survival analysis under competing risks using longitudinal modified treatment policies
📩 Email Christy Rajcoomar to register: [email protected]
Axel Martin retweeted
The Australien Government has made an ad about Carbon Capture and Storage, and it’s surprisingly honest and informative. #CCS
Axel Martin retweeted
📣Yours truly made an appearance in this month’s @AmstatNews magazine!! @MSKBiostats @compbiopodcast @92Y check it out - “P is for Podcaster and Potter! And P-value!”. Honored to share a bit about myself 🙇🏻♀️
Axel Martin retweeted
Beyond excited to share our recent paper in @NatureComms on the prediction of the tissue site of origin of cancer tumors using the hidden genome of #rarevariants! Joint work with @CLaunderer, Zoe Guan, @ColinBBegg, and @ronglais. nature.com/articles/s41467-0… 1/n
Axel Martin retweeted
Using #genomic and #epigenomic meta-features to predict the tissue of origin of cancer from the hidden genome of #RareVariants: new #CancerResearch paper by @SaptarshiCh @CLaunderer @ColinBBegg @ronglais
@NatResCancer
go.nature.com/3uqzvGo
Axel Martin retweeted
Biostatisticians often get asked, "What exactly do you do?" @rkatlady has a great blog post that breaks down our day (and by hour!). Most of what we do involves:
👩💻🧑💻programming
📝writing
📚reading
🤝meeting
& much more!
Revisiting my first blog post, “A Day in the Life of a Biostatistician,” for high school/college students who aren’t sure what a job in biostats might actually entail.
To my surprise, I frequently receive emails about this post... 1/2
khstats.com/blog/ditl-biosta…
Axel Martin retweeted
Excited (abd a bit nervous!) to be on my very first panel! #ENAR2021
1⃣6⃣ On the 16th, @jessicalavs will participate in a panel discussion on challenges, opportunities and all things career in the statistics/data science field.
🕘9-10:45am Oh, The Places You Could Go: Surprising Careers in Statistics and Data Science
3/4 🧵
Axel Martin retweeted
My perspective of life in NYC last spring as a biostatistician on Covid-19 response efforts is in this month's @signmagazine.
It's very personal writing, but I tried to use my own experiences to capture the escalation and shared emotions of the time.
Katherine Hoffman (@rkatlady) is a biostatistician in the pulmonary and critical care team of a New York City hospital, who found herself part of the #covid19 response when the outbreak first hit in March 2020. This is her story: rss.onlinelibrary.wiley.com/…
Axel Martin retweeted
Can tumor genomics help predict which patients are at risk for recurrence after resection of LUAD? We show that integration of genomic/clinicopathologic factors improves risk stratification and prediction of recurrence compared to the current TNM model. jamanetwork.com/journals/jam…
Axel Martin retweeted
🙇♀️ So excited that our committee was awarded the @ASA_Biometrics grant so that we can continue to build the #BridgetoBiostats 🌉
Axel Martin retweeted
🚨 New blog post (a series!)
An Illustrated Guide to Targeted Maximum Likelihood Estimation 🎯
Part 1: motivation for “targeting” an estimand for inference and why we can & should incorporate data-adaptive/machine learning models
🧵1/
khstats.com/blog/tmle/tutori… #causaltwitter
Axel Martin retweeted
survClust is out! ✅An integrative supervised clustering approach to address limitations of canonical clustering leading to clinically relevant subtypes!
@GenomeMedicine #Genomics
🔥from the press
🙋♀️unsupervised clustering might not lead to unique solutions.
✨Introducing survClust by @arorarshi @ronglais @VeSeshan, An outcome-weighted integrative clustering to identify subtypes based on survival information having clinical utility
genomemedicine.biomedcentral…
