Esa Pitkänen

Machine learning the cancer genome and other puzzles at @mlbiomed @FIMM_UH @ATGprogram @ican_finland

[Leo Meriranta @Merijellona]

It's Fragment Friday! Happy to share our thoughts on #ctDNA #fragmentomics with @epitkane and @LeppaSM in the latest ctDNA issue of Seminars in Hematology: https://t.co/SE0huPPEwt

[Esa Pitkänen @epitkane]

@VisaHonkanen @FIMM_UH @PrimaSanjaya @ATGprogram @iCAN_Finland Kiitos Visa!

[Esa Pitkänen @epitkane]

Wonderful to see our work on (deep) learning how to classify tumor types with WGS/WES data published in Genome Medicine! Great effort by @PrimaSanjaya and coauthors to validate the method in >10,000 whole cancer genomes. @FIMM_UH @ATGprogram @iCAN_Finland https://t.co/2AQAoDBvyB

[Esa Pitkänen @epitkane]

@PrimaSanjaya @FIMM_UH @ATGprogram @iCAN_Finland An earlier thread on the key results: https://t.co/qmyJ3iTJO4. For the revision, we validated MuAt in extended WGS cohorts together with @GenomicsEngland and @AaltonenLab - huge thanks!

[Esa Pitkänen @epitkane]

Excited to announce our new manuscript on tumor (sub)typing in NGS data! Wonderful work by @PrimaSanjaya in collab with @sebastianw @OliverStegle @JanKorbel5 @FIMM_UH @ATGprogram @mlbiomed https://t.co/KxsGKhMQqt

[FIMM HelsinkiUni @FIMM_UH]

Are you our new Group Leader?
We will recruit early-stage group leaders in molecular medicine with notable international experience and ability to provide novel and complementary contributions to existing research at FIMM, @HiLIFE_helsinki & @helsinkiuni.
https://t.co/CbQwsn2EUj

[Esa Pitkänen @epitkane]

Fantastic work from our collaborators @waaralab on this intriguing hematological disease.

[Outi Kilpivaara @OKilpivaara]

I’m overjoyed to share our collaborative work on ERCC6L2 disease. @BloodJournal @ASH_hematology. A must read for all hematologists! @MarjaHak @ullawk @waaralab @ATGprogram @HelsinkiUniMed Check out also a stellar commentary by @marrowgenes
https://t.co/KOh7j500pL

[Esa Pitkänen @epitkane]

@lalangohr presenting single-cell analysis of ERCC6L2 disease at #EHA23 @mlbiomed @waaralab

[Esa Pitkänen @epitkane]

Thread on our key results https://t.co/0CYoLaHg5b

[Esa Pitkänen @epitkane]

How to virtually label cells with imaging flow cytometry (IFC) and identify cell types? @TimonenVeera created DeepIFC to solve this problem. Great collaboration with Finnish Red Cross Blood Service @Veripalvelu @FIMM_UH @ATGprogram @helsinkiuni @mlbiomed https://t.co/zo3M7CGtQU

[Esa Pitkänen @epitkane]

Happy to see our paper on reconstructing fluorescent labels in imaging flow cytometry with deep learning published. Excellent work by @TimonenVeera and collaborators! @frcbsresearch @mlbiomed @FIMM_UH https://t.co/yjfYMOIi3A

[Esa Pitkänen @epitkane]

@SVanharanta @SigridJuselius Congrats!!

[Mariike Kuijjer @mkuijjer]

Would you like to develop your own research line, on the interface of network science, computational tool development, and cancer research?
Apply to a postdoctoral position in my group and be the next addition to our collaborative and diverse team!
https://t.co/JhgiAMKISF

[Esa Pitkänen @epitkane]

We have exciting opportunities in @iCAN_Finland for bioinformaticians and clinical data analysts to transform large-scale molecular profiling and health registry data into breakthroughs in precision cancer medicine! https://t.co/ZGP1pdWioJ https://t.co/SkRTRERLuC

[Esa Pitkänen @epitkane]

@MirttiTuomas @HelsinkiUniMed @HUS_fi Congratulations!

[Esa Pitkänen @epitkane]

@AnnaVaharautio Congratulations Anna!

[Esa Pitkänen @epitkane]

@afarkkila @ERC_Research @SystemTumor Great news! Congratulations @afarkkila!

[Esa Pitkänen @epitkane]

@paula_jouhten Congrats @paula_jouhten and @kiran_r_patil, this is awesome!

[Paula Jouhten @paula_jouhten]

The cool yeasts are tacking to progress against wind or analogously natural selection

[Paula Jouhten @paula_jouhten]

Excited to share our method for predictive evolution of metabolic traits using mathematical models of metabolism! Imagine the possibilities. Thousand thanks to all wonderful Co-Authors!
https://t.co/SDMnksRUT2

[Tuomas Mirtti @MirttiTuomas]

https://t.co/sNUZMzlLue

Cancer research, histomics and multiomics well presented in the first Finnish LUMI supercomputer projects. Including our HistoEncoder! @epitkane @RannikkoAntti Congrats also ComPatAI @PekkaRuusuvuori @TolonenTeemu

[Esa Pitkänen @epitkane]

@RuxandraLambuta @TimonenVeera @Veripalvelu @FIMM_UH @ATGprogram @helsinkiuni @mlbiomed Thank you Ruxandra!

[Esa Pitkänen @epitkane]

How to virtually label cells with imaging flow cytometry (IFC) and identify cell types? @TimonenVeera created DeepIFC to solve this problem. Great collaboration with Finnish Red Cross Blood Service @Veripalvelu @FIMM_UH @ATGprogram @helsinkiuni @mlbiomed https://t.co/zo3M7CGtQU