2024
A supervised Bayesian factor model for the identification of multi-omics signatures
Gygi J, Konstorum A, Pawar S, Aron E, Kleinstein S, Guan L. A supervised Bayesian factor model for the identification of multi-omics signatures. Bioinformatics 2024, 40: btae202. PMID: 38603606, PMCID: PMC11078774, DOI: 10.1093/bioinformatics/btae202.Peer-Reviewed Original ResearchConceptsMulti-omics signaturesBayesian factor modelMulti-omics dataMulti-omics integrationSupplementary dataOmics datasetsMulti-omicsProfiling datasetsR packageDiverse assaysImproved biological understandingProfiling assaysSignature discoveryBioinformaticsProfiling studiesBiological understandingDimensionality reductionBiological responsesBiological signaturesCombination of dimensionality reduction
2023
IGHV allele similarity clustering improves genotype inference from adaptive immune receptor repertoire sequencing data
Peres A, Lees W, Rodriguez O, Lee N, Polak P, Hope R, Kedmi M, Collins A, Ohlin M, Kleinstein S, Watson C, Yaari G. IGHV allele similarity clustering improves genotype inference from adaptive immune receptor repertoire sequencing data. Nucleic Acids Research 2023, 51: e86-e86. PMID: 37548401, PMCID: PMC10484671, DOI: 10.1093/nar/gkad603.Peer-Reviewed Original Research
2016
VDJML: a file format with tools for capturing the results of inferring immune receptor rearrangements
Toby IT, Levin MK, Salinas EA, Christley S, Bhattacharya S, Breden F, Buntzman A, Corrie B, Fonner J, Gupta NT, Hershberg U, Marthandan N, Rosenfeld A, Rounds W, Rubelt F, Scarborough W, Scott JK, Uduman M, Vander Heiden JA, Scheuermann RH, Monson N, Kleinstein SH, Cowell LG. VDJML: a file format with tools for capturing the results of inferring immune receptor rearrangements. BMC Bioinformatics 2016, 17: 333. PMID: 27766961, PMCID: PMC5073965, DOI: 10.1186/s12859-016-1214-3.Peer-Reviewed Original Research