Cong Ma
@Cong992
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Postdoc in Computational Biology at Princeton University
Joined November 2015
Excited to present our work CalicoST ( for inferring allele-specific CNAs and phylogeography at #Recomb2024 on Apr 29 15:18pm.
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RT @benjraphael: Spatial transcriptomics meets complex analysis – our new method Belayer models spatial gene expression in layered tissues,…
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I'm so honored to be awarded @DamonRunyon Quantitative Biology Fellowship and excited to keep working on modeling 3D tumors using single-cell and spatial multi-omics with Dr.@benjraphael and Dr. Li Ding.
Welcome to the third class of Damon Runyon Quantitative Biology Fellows! Using tools of computational biology to generate and interpret cancer research data at exceptional scale, these scientists will push the boundaries of what’s possible in #cancerresearch.
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Thank you, Carl! It's a very precious experience for me to work on this work in this group!
Congratulations to Dr. Cong Ma @Cong992, who completed her Ph.D. in computational biology @CMUCompBio (in CMU's School of Computer Science @SCSatCMU) with her pioneering methods for detecting structural variants & anomalies in RNA-seq. More about her work:
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RT @CMUCompBio: Algorithm rapidly finds anomalies in gene expression data & works to identify and correct mistakes it may have made. To re…
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RT @ckingsford: Yutong Qiu (@yutong_qiu from @CMUCompBio) giving a talk at #WABI2019 on her paper with Cong Ma (@Cong992) introducing the…
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RT @SCSatCMU: Scallop software from @CMUCompBio reconstructs RNA transcripts more accurately, will improve understanding of gene expression…
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RT @ckingsford: Thks for all the support! In case is not obvious, the accusations regarding Salmon are false, see detailed response: https:…
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