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2010 – 2019
- 2018
[i4]Jonathan Z. L. Zhao, Eliseos J. Mucaki, Peter K. Rogan
:
Predicting ionizing radiation exposure using biochemically-inspired genomic machine learning. F1000Research 7: 233 (2018)- [i3]Ruipeng Lu, Peter K. Rogan:
Transcription factor binding site clusters identify target genes with similar tissue-wide expression and buffer against mutations. F1000Research 7: 1933 (2018) - 2016
- [i2]Akila Subasinghe Arachchige, Jagath Samarabandu, YanXin Li, Ruth Wilkins, Farrah Flegal, Joan Knoll, Peter K. Rogan:
Centromere detection of human metaphase chromosome images using a candidate based method. F1000Research 5: 1565 (2016) - [i1]Iman Rezaeian, Eliseos J. Mucaki, Katherina Baranova, Huy Quang Pham, Dimo Angelov, Alioune Ngom, Luis Rueda, Peter K. Rogan:
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning. F1000Research 5: 2124 (2016) - 2015
- [c9]Paul Parsons, Kamran Sedig, Robert E. Mercer, Maryam Khordad, Joan Knoll, Peter K. Rogan:
Visual analytics for supporting evidence-based interpretation of molecular cytogenomic findings. VAHC 2015: 2:1-2:8 - 2013
- [j5]Ben C. Shirley, Eliseos J. Mucaki, Tyson Whitehead, Paul I. Costea, Pelin Akan, Peter K. Rogan:
Interpretation, Stratification and Evidence for Sequence Variants Affecting mRNA Splicing in Complete Human Genome Sequences. Genom. Proteom. Bioinform. 11(2): 77-85 (2013) - [j4]Akila Subasinghe Arachchige, Jagath Samarabandu, Joan Knoll, Peter K. Rogan:
Intensity Integrated Laplacian-Based Thickness Measurement for Detecting Human Metaphase Chromosome Centromere Location. IEEE Trans. Biomed. Eng. 60(7): 2005-2013 (2013) - 2012
- [c8]Akila Subasinghe Arachchige, Jagath Samarabandu, Peter K. Rogan, Joan Knoll:
Intensity integrated Laplacian algorithm for human metaphase chromosome centromere detection. CCECE 2012: 1-4 - [c7]Maryam Khordad, Robert E. Mercer, Peter K. Rogan:
A Machine Learning Approach for Phenotype Name Recognition. COLING 2012: 1425-1440 - [c6]Rajeev Ranjan, Akila Subasinghe Arachchige, Jagath Samarabandu, Peter K. Rogan, Joan Knoll:
Automatic Detection of Pale Path and Overlaps in Chromosome Images using Adaptive Search Technique and Re-thresholding. VISAPP (1) 2012: 462-466 - 2011
- [c5]Maryam Khordad, Robert E. Mercer, Peter K. Rogan:
Improving Phenotype Name Recognition. Canadian AI 2011: 246-257 - 2010
- [c4]Subasinghe A. Akila Akila, Jagath Samarabandu, Joan Knoll, Wahab Khan, Peter K. Rogan:
An Accurate Image Processing Algorithm for Detecting FISH Probe Locations Relative to Chromosome Landmarks on DAPI Stained Metaphase Chromosome Images. CRV 2010: 223-230 - [c3]Akila Subasinghe Arachchige, Jagath Samarabandu, Joan Knoll, Wahab Khan, Peter K. Rogan:
An image processing algorithm for accurate extraction of the centerline from human metaphase chromosomes. ICIP 2010: 3613-3616
2000 – 2009
- 2009
- [c2]Peter K. Rogan:
Ab initio exon definition using an information theory-based approach. CISS 2009: 847-852 - 2006
- [j3]Chengpeng Bi, Peter K. Rogan:
BIPAD: A web server for modeling bipartite sequence elements. BMC Bioinform. 7: 76 (2006) - 2005
- [j2]Deendayal Dinakarpandian, Venetia Raheja, Saumil Mehta, Erin G. Schuetz, Peter K. Rogan:
Tandem machine learning for the identification of genes regulated by transcription factors. BMC Bioinform. 6: 204 (2005) - 2004
- [c1]Peter K. Rogan, Joan Knoll:
High Resolution Detection of Chromosome Abnormalities with Single Copy Fluorescence In Situ Hybridization. ISBI 2004: 73-76 - 2003
- [j1]Sashidhar Gadiraju, Carrie A. Vyhlidal, J. Steven Leeder, Peter K. Rogan:
Genome-wide prediction, display and refinement of binding sites with information theory-based models. BMC Bioinform. 4: 38 (2003)
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