RT @i000: @XShirleyLiu Yes, please see NCI-CPTAC DREAM challenge: https://t.co/QU5A1ZDsGO
@XShirleyLiu Yes, please see NCI-CPTAC DREAM challenge: https://t.co/QU5A1ZDsGO
@DelgoffeLab While I agree with you that protein != mRNA, metabolic pathways are (in some cases) the best-case scenario https://t.co/7Pgo4iNb5Z Ultimately, the question is really about flux, and protein levels won't deliver that. Even using protein as an u
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
RT @slavov_n: Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW…
Can you predict protein and phosphorylation levels from genomic and transcriptomic data? This study https://t.co/eBjuWpPCDW concluded: "The performance of even the best-performing model was modest, suggesting that many proteins are strongly regulated thr
RT @byu_sam: @LauraDeming There are several important papers that have influenced me on this. A recent paper I was involved in shows that t…
@LauraDeming There are several important papers that have influenced me on this. A recent paper I was involved in shows that transcriptomics has very poor predictive power for phosphorylation. So anything about signaling is going to be poorly represented i
[New scientific publication 📄] "Community assessment of the predictability of cancer protein and phosphoprotein levels from genomics and transcriptomics". 📚 Read the full paper here: https://t.co/C1sP9r3ypH #ResearchLuxembourg #Research https://t.co/i3cg8o
Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics https://t.co/XCikCY82Tu
The results of the NCI-CPTAC DREAM Proteogenomics Challenge to predict protein and phosphorylation levels from genomic and transcriptomic data in cancers suggest that (phospho)proteomic data cannot, at least for now, be substituted for by these other data.
RT @CellSystemsCP: The results of the NCI-CPTAC DREAM Proteogenomics Challenge to predict protein and phosphorylation levels from genomic a…
The results of the NCI-CPTAC DREAM Proteogenomics Challenge to predict protein and phosphorylation levels from genomic and transcriptomic data in cancers suggest that (phospho)proteomic data cannot, at least for now, be substituted for by these other data.
@MarioNiepel New paper just out. Short answer is predictions are still mediocre. https://t.co/IVep5ggbBa p.s. I love debating this topic.
Crowdsourced Assessment of the of Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics https://t.co/yZkoAsbf24 #cancer #genomics #bioinformatics https://t.co/sOvnVDJPhw
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
Crowdsourced Assessment of the of Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics https://t.co/RVmzNLoU3O
Happy to participate in the new @DR_E_A_M paper Crowdsourced Assessment of the of Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics https://t.co/IlfstMTWTO @ClinicalBioinfo @FProgresoysalud @ibis_sevilla @INB_Offi
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
Dear editor of @CellSystemsCP , might the title of this report need another review? At least I think there might be an 'of' too much! Otherwise interesting read. https://t.co/U9z7rIjFbJ
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
RT @saezlab: Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned…
Congrats to @MIYANG0586 F. Petralia, Z. Li + rest of @DR_E_A_M @theNCI-CPTAC Community - 👇 in @CellSystemsCP what we learned about predicting (phospho)proteomics from DNA/RNA - still a long way to go https://t.co/nMmVPDfwMY study co-lead w. D. Fenyö ht
RT @CellGenomics: Crowdsourced Assessment of the of Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcript…
RT @CellGenomics: Crowdsourced Assessment of the of Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcript…
RT @CellGenomics: Crowdsourced Assessment of the of Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcript…
RT @RodriguezPhDMBA: Read how @theNCI #CPTAC employs the POWER OF MANY to build and to innovate. New study just published in @CellSystemsCP.
RT @NCI_HRodriguez: #CPTAC researchers share the results of their first-ever crowd-sourced @theNCI-CPTAC @DR_E_A_M #Proteogenomic Challenge…
RT @NCI_HRodriguez: #CPTAC researchers share the results of their first-ever crowd-sourced @theNCI-CPTAC @DR_E_A_M #Proteogenomic Challenge…
Crowdsourced Assessment of the of Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics @theNCI #CPTAC @DR_E_A_M @CellSystemsCP https://t.co/ltbBPKGD51
Read how @theNCI #CPTAC employs the POWER OF MANY to build and to innovate. New study just published in @CellSystemsCP.
RT @NCI_HRodriguez: #CPTAC researchers share the results of their first-ever crowd-sourced @theNCI-CPTAC @DR_E_A_M #Proteogenomic Challenge…