1.5.3(2021-03-14)-更正更新版本的变化在装饰图案绘制问题:比较的和scPCA载荷。——添加pkgdown网站。——移动ScaledMatrix“进口”部分的描述。1.5.2版本的变化(2020-12-21)-添加LTLA / ScaledMatrix“遥控器”部分的描述。1.5.1版本的变化(2020-12-17)- scPCA()和其他内部函数现在可能利用ScaledMatrix对象类。这使得计算效率对比在分析大型数据集的协方差矩阵估计。- safeColScale()现在使用MatrixGenerics标准化处理功能。版本变化1.3.10(2020-10-16)——从亚伦Lun实施建议的改进。版本的变化就开始(2020-10-12)- scPCA()现在接受DelayedMatrix对象作为目标和背景的数据集。版本变化1.3.8(2020-09-01)-小bug修复变化1.3.6版(2020-08-30)-固定问题n_centers是只有一个点球和对比项时需要提供,用户现在可以通过因素和特征向量集群的论点。 Changes in version 1.3.5 (2020-08-18) - Fixed citations in docs - Provided more detailed warning when RSpectra::eigs_sym() fails to converge - Included arguments in scPCA() to control RSpectra::eigs_sym() convergence: error tolerance and max number of iterations Changes in version 1.3.4 (2020-08-12) - Replaced calls to base::eigen() by RSpectra::eigs_sym() to speed up eigendecompositions of contrastive covariance matrices. cPCA is now performed much more quickly when only wishing to compute a handful of leading contrastive principal components. - Replaced calls to stats::cov() by coop::covar() to speed up computation of large sample covariance matrices. - In future updates, we'd like to explore using the DelayedArray framework to support the analysis of larger datasets. Changes in version 1.3.3 (2020-08-08) - The n_centers argument no longer matters when When the contrasts argument is of length 1 and the penalty term is set to 0. - Users can now pass in their own cluster labels Changes in version 1.3.2 (2020-08-05) - Updated scPCA() function documentation - Corrected spelling mistakes Changes in version 1.1.15 (2020-06-02) - Fixing Travis CI settings Changes in version 1.1.14 (2020-04-26) - Fixing broken link in an internal function documentation page. Changes in version 1.1.12 (2020-04-21) - Updated citations - Fixed typos in documentation Changes in version 1.1.11 (2020-02-02) - Added more SPCA algorithm options - SPCA via variable projection - Randomized SPCA via variable projection - New vignette section comparing performance of SPCA algorithms - Improvements to code coverage Changes in version 1.1.5 (2020-01-18) - Fixed issue with matrix normalization - Misc. bug fixes - Improvements to code coverage Changes in version 1.1.2 (2020-01-08) - Added hierarchical clustering options for clustering based cross-validation Changes in version 0.99.0 (2019-09-13) - Submitted to Bioconductor