• Euk-mPLoc

  • Referenced in 42 articles [sw26860]
  • fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites ... critical challenges in predicting protein subcellular localization is how to deal with the case ... predict the desired information for the blank, so far, all the existing methods for predicting ... annotated as being uncertain. The large-scale results thus obtained have been deposited...
  • Virus-ploc

  • Referenced in 14 articles [sw22421]
  • Virus-PLoc: a fusion classifier for predicting the subcellular localization of viral proteins within host ... PLoc has been used to provide large-scale predictions of all viral protein entries...
  • QPSchur

  • Referenced in 16 articles [sw06918]
  • with specializations in each area; large-scale model predictive control (MPC) and reduced-space successive...
  • Euk-PLoc

  • Referenced in 24 articles [sw22420]
  • ensemble classifier for large-scale eukaryotic protein subcellular location prediction. With the avalanche of newly ... with each other in cellular networking. However, predicting subcellular location of eukaryotic proteins ... same website to list the results predicted by Euk-PLoc for all eukaryotic protein entries ... annotated as being uncertain. The large-scale results will be updated twice a year...
  • Hum-mPLoc

  • Referenced in 26 articles [sw26862]
  • ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples with multiple ... predict the desired information for the gap, so far all the existing methods for predicting ... annotated as being uncertain. The large-scale results thus obtained have been deposited...
  • Signal-CF

  • Referenced in 30 articles [sw26854]
  • scaled windows through a voting system. Signal-CF is featured by high success prediction rates ... particularly useful for the analysis of large-scale datasets. Signal-CF is freely available...
  • pi-MASS

  • Referenced in 16 articles [sw17249]
  • genome-wide association studies and similar large-scale regression problems. Currently, typical genome-wide association ... identifying relevant variables, rather than on prediction; and (ii) many relevant covariates may have tiny ... these large-scale problems, and in our simulations produces better power and predictive performance compared...
  • Jellyfish

  • Referenced in 28 articles [sw12431]
  • number of processors. On large-scale matrix completion tasks, Jellyfish is orders of magnitude more ... Prize data set, prior art computes rating predictions in approximately 4 h, while Jellyfish solves...
  • PTE

  • Referenced in 6 articles [sw37756]
  • Predictive Text Embedding through Large-scale Heterogeneous Text Networks. Unsupervised text embedding methods, such ... which we call the extit{predictive text embedding} (PTE). Predictive text embedding utilizes both labeled ... information are first represented as a large-scale heterogeneous text network, which is then embedded ... documents, but also has a strong predictive power for the particular task. Compared to recent...
  • FT-COMAR

  • Referenced in 4 articles [sw35323]
  • allowing its application to a large-scale number of predictions. Availability: http://bioinformatics.cs.unibo.it/FT-COMAR...
  • Signal-3L

  • Referenced in 16 articles [sw26857]
  • Signal-3L is featured by high success prediction rates with short computational time, and hence ... particularly useful for the analysis of large-scale datasets. Signal-3L is freely available...
  • COFFIN

  • Referenced in 8 articles [sw04881]
  • they are not suited for truly large-scale applications since they suffer from the curse ... training and prediction effort this framework leverages SVM applications to truly large-scale problems...
  • TuPAQ

  • Referenced in 1 article [sw33591]
  • TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries. The proliferation of massive datasets ... many other applications can be supported by Predictive Analytic Queries (PAQs). A major obstacle ... process of identifying and training an appropriate predictive model. Recent efforts aiming to automate this ... effectiveness of such approaches on large-scale problems. In this work, we build upon these...
  • mLASSO-Hum

  • Referenced in 1 article [sw16468]
  • yield sparse and interpretable solutions for large-scale prediction of human protein subcellular localization...
  • MFclass

  • Referenced in 2 articles [sw34570]
  • using Gaussian processes: accelerating the prediction of large-scale computational models. Machine learning techniques typically ... lower fidelity models and inexpensive approximations to predict the binary output of expensive computer simulations...
  • PseAAC-General

  • Referenced in 16 articles [sw22430]
  • pseudo-amino acid composition for large-scale protein datasets. The general form pseudo-amino acid ... widely used to represent protein sequences in predicting protein structural and functional attributes. We developed...
  • SIRENE

  • Referenced in 7 articles [sw17419]
  • large-scale benchmark experiment revealed that most current methods only predict a limited number...
  • CCMpred

  • Referenced in 1 article [sw17014]
  • contact prediction have made reliable de novo prediction of protein structures possible ... This impedes the runtime and large-scale contact prediction for larger protein families, multi-domain...
  • Openpipeflow

  • Referenced in 12 articles [sw30456]
  • involving fluids, and the ability to accurately predict properties of the flow through a pipe ... range of settings, from large-scale simulation of highly turbulent flow, to the detailed analysis...
  • LEON

  • Referenced in 2 articles [sw24616]
  • reliability of the predictions is demonstrated in large-scale comparisons with structural and sequence family ... reliably identify the complex relationships between large multidomain proteins and should be useful for automatic ... high-throughput genome annotations, 2D/3D structure predictions, protein–protein interaction predictions...