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Transcription factors regulate gene expression, but how these proteins recognize and specifically bind to their DNA targets is still debated.
A new measure of rank correlation
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Combining selex with quantitative assays to rapidly obtain accurate models of protein-dna interactions
Liu, J. and Stormo, G. D · 2005
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Genomic regions flanking e-box binding sites influence DNA binding specificity of bHLH transcription factors through DNA shape
Gordân, R., et al · 2013
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Dna-binding specificities of human transcription factors
Jolma, A., et al · 2013
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Stability selection for regression-based models of transcription factor–dna binding specificity
Mordelet, F., Horton, J., Hartemink, A. J., Engelhardt, B. E., and Gordân, R · 2013
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DNAshape: a method for the high-throughput prediction of DNA structural features on a genomic scale
Zhou, T., et al · 2013
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Quantum Machine Learning: What Quantum Computing Means to Data Mining
Wittek, P · 2014
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Quantum principal component analysis
Lloyd, S., Mohseni, M., and Rebentrost, P · 2014
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Adachi, S. H. and Henderson, M. P · 2015
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Decoherence in adiabatic quantum computation
Albash, T. and Lidar, D. A · 2015
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Quantum optimization of fully connected spin glasses
Venturelli, D., et al · 2015
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Probing for quantum speedup in spin-glass problems with planted solutions
Hen, I., et al · 2015
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Searching for quantum speedup in quasistatic quantum annealers
Amin, M · 2015
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Quantitative modeling of transcription factor binding specificities using DNA shape
Zhou, T., et al · 2015
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Deconvolving the recognition of DNA shape from sequence
Abe, N., et al · 2015
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Amin, M. H., Andriyash, E., Rolfe, J., Kulchytskyy, B., and Melko, R · 2016
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Biamonte, J., et al · 2016
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Quantum-assisted learning of graphical models with arbitrary pairwise connectivity
Benedetti, M., Realpe-Gómez, J., Biswas, R., and Perdomo-Ortiz, A · 2016
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Albash, T. and Lidar, D. A · 2016
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Xgboost: A scalable tree boosting system
Chen, T. and Guestrin, C · 2016
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Simulated quantum annealing can be exponentially faster than classical simulated annealing
Crosson, E. and Harrow, A · 2016
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Solving a higgs optimization problem with quantum annealing for machine learning
Mott, A., Job, J., Vlimant, J.-R., Lidar, D., and Spiropulu, M · 2017
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Transcription factor family-specific DNA shape readout revealed by quantitative specificity models
Yang, L., et al · 2017
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