Biomedical Informatics

Fingerprint Dive into the research topics where Biomedical Informatics is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Genetic Recombination Medicine & Life Sciences
Ontology Engineering & Materials Science
B-Lymphocytes Medicine & Life Sciences
Genes Medicine & Life Sciences
V(D)J Recombination Medicine & Life Sciences
Protein Sorting Signals Medicine & Life Sciences
T-Lymphocytes Medicine & Life Sciences
Relapsing-Remitting Multiple Sclerosis Medicine & Life Sciences

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Research Output 1998 2019

1 Citation (Scopus)

Biophysicochemical motifs in T-cell receptor sequences distinguish repertoires from tumor-infiltrating lymphocyte and adjacent healthy tissue

Ostmeyer, J., Christley, S., Toby, I. T. & Cowell, L. G., Apr 1 2019, In : Cancer Research. 79, 7, p. 1671-1680 10 p.

Research output: Contribution to journalArticle

Open Access
Tumor-Infiltrating Lymphocytes
T-Cell Antigen Receptor
Complementarity Determining Regions
Neoplasms
Antigen Receptors
3 Citations (Scopus)

iReceptor: A platform for querying and analyzing antibody/B-cell and T-cell receptor repertoire data across federated repositories

Corrie, B. D., Marthandan, N., Zimonja, B., Jaglale, J., Zhou, Y., Barr, E., Knoetze, N., Breden, F. M. W., Christley, S., Scott, J. K., Cowell, L. G. & Breden, F., Jul 1 2018, In : Immunological Reviews. 284, 1, p. 24-41 18 p.

Research output: Contribution to journalReview article

T-Cell Antigen Receptor
B-Lymphocytes
Antibodies
Autoimmune Diseases
Communicable Diseases

Machine learning on sequential data using a recurrent weighted average

Ostmeyer, J. & Cowell, L. G., Jan 1 2018, (Accepted/In press) In : Neurocomputing.

Research output: Contribution to journalArticle

Learning systems
Recurrent neural networks
Neural Networks (Computer)
Statistical Models
Network architecture