Rabadan, Raul

1. Collider Bounds on Pseudoscalars Coupling to Gauge Bosons
   2005/10/13 by Matthew Kleban, Raul Rabadan, Raúl Rabadán +2 · 3 citations
   Physics and Astronomy · #Cosmology and Gravitation Theories #Dark Matter and Cosmic Phenomena #Particle physics theoretical and experimental studies #hep-ex #hep-ph
2. MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data
   2020/01/06 by Andrew J. Blumberg, Blumberg, Andrew J., Mathieu Carrière +7 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Single-cell and spatial transcriptomics #Topological and Geometric Data Analysis
3. A Theory of Taxonomy
   2016/11/04 by Guido D'Amico, Raul Rabadan, D'Amico, Guido +3 · 1 voice
   Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #physics.soc-ph #cs.SI #physics.data-an #q-bio.QM
4. Fractal-like Distributions over the Rational Numbers in High-throughput Biological and Clinical Data
   2010/10/20 by Vladimir A. Trifonov, Trifonov, Vladimir, Laura Pasqualucci +5 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Economics, Econometrics and Finance · #Applications (stat.AP) #Complex Systems and Time Series Analysis #Evolution and Genetic Dynamics #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Mathematics #Fractal and DNA sequence analysis #Probability (math.PR) #Quantitative Methods (q-bio.QM)
5. Genomic data analysis in tree spaces
   2016/07/25 by Zairis, Sakellarios, Khiabanian, Hossein, Blumberg, Andrew J. +1 · 1 citation
   #FOS: Biological sciences #Genomics (q-bio.GN) #Quantitative Methods (q-bio.QM)
6. Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
   2024/10/31 by Su, Jiayu, Knowles, David A., Rabadan, Raul · 1 citation
   #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning (stat.ML)