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
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
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
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
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
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
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
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
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
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