PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Immune checkpoint inhibition represents a major recent breakthrough in the treatment of malignant diseases including breast cancer. Blocking the programmed death receptor-1 (PD-...
Publications
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10,000 publications
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex ensemble systems that...
<i>Coot</i>: model-building tools for molecular graphics
CCP4mg is a project that aims to provide a general-purpose tool for structural biologists, providing tools for X-ray structure solution, structure comparison and analysis, and p...
A New Approach to Linear Filtering and Prediction Problems
The classical filtering and prediction problem is re-examined using the Bode-Shannon representation of random processes and the “state-transition” method of analysis of dynamic ...
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Previous article Next article An Algorithm for Least-Squares Estimation of Nonlinear ParametersDonald W. MarquardtDonald W. Marquardthttps://doi.org/10.1137/0111030PDFPDF PLUSBi...
Neural Networks: A Comprehensive Foundation
From the Publisher: This book represents the most comprehensive treatment available of neural networks from an engineering perspective. Thorough, well-organized, and completely...
Semiempirical GGA‐type density functional constructed with a long‐range dispersion correction
Abstract A new density functional (DF) of the generalized gradient approximation (GGA) type for general chemistry applications termed B97‐D is proposed. It is based on Becke's p...
Particle mesh Ewald: An <i>N</i>⋅log(<i>N</i>) method for Ewald sums in large systems
An N⋅log(N) method for evaluating electrostatic energies and forces of large periodic systems is presented. The method is based on interpolation of the reciprocal space Ewald su...
Econometric Analysis of Cross Section and Panel Data
The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. B...
A Simplex Method for Function Minimization
A method is described for the minimization of a function of n variables, which depends on the comparison of function values at the (n + 1) vertices of a general simplex, followe...
Features and development of <i>Coot</i>
Coot is a molecular-graphics application for model building and validation of biological macromolecules. The program displays electron-density maps and atomic models and allows ...