
Travis S Johnson
@Johnson_TravisS
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Bioinformatician working at the intersection of data science, medicine, and human genetics.
Indianapolis, IN
Joined September 2016
The Johnson lab had had a great time at @DahShuInfo 2024 and listened to some great talks. @michiganstateu did a great job hosting. #bioinformatics #machinelearning
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Im excited to post our new manuscript just published in nature communications. In this paper we study the relationship between high risk copy number changes and PHF19 expression in multiple myeloma. #multiplemyeloma #singlecell #multiomics #epigenetics .
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I am excited to present our new work published in Genome Medicine called Diagnostic Evidence Gauge of Single-cells (DEGAS)! This deep transfer learning framework can identify risk-associated cells from scRNA-seq. #machinelearning #singlecell #datascience.
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Excited that our pseudogene database got published! PseudoFuN: Deriving functional potentials of pseudogenes from integrative relationships with genes and microRNAs across 32 cancers #Bioinformatics #DataScience #lifesciences.
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Glad that we were able to get our method published!.LAmbDA: Label Ambiguous Domain Adaptation Dataset Integration Reduces Batch Effects and Improves Subtype Detection #Bioinformatics #DataScience #MachineLearning.
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RT @revodavid: The BBC has published a cookbook for creating data visualizations in the BBC News style using R: #rs….
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RT @eLife: To mark #WorldCancerDay, five eLife authors in Cancer Biology share their latest research in a series of videos .
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RT @nspruston: >1,000 neurons imaged and reconstructed with complete, whole-brain axon arborizations. Great work by Jayaram Chandrashekar a….
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RT @satijalab: Wow - Robi Mitra's lab engineers TF/piggyBac complexes to record. transcription factor binding + mRNA-seq in single cells! I….
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LAmbDA: Label Ambiguous Domain Adaption Dataset Integration Reduces Batch Effects and Improves Subtype Detection #Bioinformatics #DataScience #MachineLearning.
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Integration of Mouse and Human Single-cell RNA Sequencing Infers Spatial Cell-type Composition in Human Brains #Bioinformatics #DataScience #lifesciences.
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Andrew presents on a new metabolomics app and Deborah presents on addressing shortfalls in clinical trial recruitment. @OSUBMISeminars.
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Christina Yu presents on network integration of omics. Gayathri Warrier presents on integration of histology with omics. @OSUBMISeminars.
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