rozowsky

Fun loving scientist, computational biologist, Yale research scientist

[Janet Kelso @jfkelso]

@GonzaParra_ @MarkGerstein Love how he emphasized how this impressive set of scientific contributions have been powered by so many people over the years. That slide listing past trainees is impressive

[Gonzalo Parra @GonzaParra_]

Excited to attend the #ISMBECCB2023 closing keynote speaker lecture! @MarkGerstein a scientist that I have followed for so many years! He is reviewing different stages and projects during his career and will tell us where he thinks our field is going to!

[Maxime U Garcia | @[email protected] @gau]

Keynote by @MarkGerstein at #ISMBECCB2023.
The whole talk is 🤯, and I'm so bad at LTing, but this one slide particularly hit.

[Chris Hayes @chrislhayes]

These numbers are CRAZY

[rozowsky @rozowsky]

via @NYTimes https://t.co/44GgUAVVRL

[rozowsky @rozowsky]

@jeffvierstra @MarkGerstein Meant Figures 7B & C and Data 32A & B

[rozowsky @rozowsky]

@jeffvierstra @MarkGerstein Thank you Jeff. The performance scores in the paper are AUROC (Figures 6B & C and Data 32A & B) should very similar to AUPR given that they are computed using balanced sets of positives and negatives. We could probably dig up the AUPR scores - any particular transformer model?

[rozowsky @rozowsky]

https://t.co/CypUJEmoTA

[rozowsky @rozowsky]

https://t.co/UEiXVXdTB9

[rozowsky @rozowsky]

@MarkGerstein @mike_schatz @gamzeandgursoy @cjf_cameron @SnyderShot @ZhipingWeng @leetx1010 @Liz_Gaskell @RodericGuigo @JasonJLiu @YunzheJ @JingZhang_bio @FlynnChen7 @FNavarroBioInfo @kxiong1988 @JunWang84889598 @YuChengYang2 @BradEBernstein @Jinrui9 @Thabang Additional acknowledgements to @amilosav @RickMyers_PhD @e__mendenhall @calizavi @MooreJillE @miketarweed @a_dobin @DrMorganLevine @bonscotthoughts @gabdank @jmschreiber91 also @susannaliu for image below

[Cold Spring Harbor Laboratory @CSHL]

Personal genome sequencing is the key to personalized medicine. To help interpret & analyze all that genome data, Prof Thomas Gingeras & his team created a catalog of millions of genetic variants & an algorithm that evaluates potential health effects. https://t.co/tJOy2JZcVV

[rozowsky @rozowsky]

@MarkGerstein EN-TEx includes rich functional genomics data (RNA-seq, ChIP-seq, Hi-C etc) on ~30 tissues in 4 GTEx individuals, > 1500 experiments in total. All mapped to high quality personal genomes, based on long-read sequencing.

[rozowsky @rozowsky]

@MarkGerstein EN-TEx also allows the construction of a statistical model extending eQTLs from easy to obtain tissues to those hard to obtain (e.g. skin=>heart).

[rozowsky @rozowsky]

@MarkGerstein The data allows the determination of a catalog of >1M allele-specific variants. In turn, the catalog enables users to determine subsets of ENCODE regulatory elements particularly enriched in eQTLs & GWAS
variants.

[rozowsky @rozowsky]

@MarkGerstein @NHGRI_Director @BroadGenomics @CRGenomica @CSHL @YaleData @YaleCBB @ENCODE_NIH @EncodeDCC @GTExPortal EN-TEx includes rich functional genomics data (RNA-seq, ChIP-seq, Hi-C etc) on ~30 tissues in 4 GTEx individuals, > 1500 experiments in total. All mapped to high quality personal genomes, based on long-read sequencing.

[rozowsky @rozowsky]

AddThis | Home https://t.co/55anpRa2p8

[Mark Gerstein @MarkGerstein]

Great new postdoc opportunity via @Yaledata: https://t.co/y0PEHwARwE
(Yale-BI Biomedical Data Science Fellowship). Happy to sponsor projects falling under the fellowship's themes, including ML, multi-omics, biomarkers, EHR, &c. Reach out to me if interested. 4/18 deadline.

[rozowsky @rozowsky]

via @NYTOpinion https://t.co/IrbLgzJp6n