https://pypi.org/project/redeconv/ Recent updates to the Python Package Index for redeconv en https://pypi.org/project/redeconv/1.2.1/ One wildly used method for scRNA-seq data normalization is to make the total count, called the transcriptome size, of all genes in each cell to be the same, such as counts per million (CPM) or count per 10 thousand (CP10K) songjian.lu@stjude.org Mon, 07 Apr 2025 14:28:36 GMT https://pypi.org/project/redeconv/1.1.1/ One wildly used method for scRNA-seq data normalization is to make the total count, called the transcriptome size, of all genes in each cell to be the same, such as counts per million (CPM) or count per 10 thousand (CP10K) songjian.lu@stjude.org Tue, 04 Mar 2025 20:13:10 GMT https://pypi.org/project/redeconv/1.1.0/ One wildly used method for scRNA-seq data normalization is to make the total count, called the transcriptome size, of all genes in each cell to be the same, such as counts per million (CPM) or count per 10 thousand (CP10K) songjian.lu@stjude.org Tue, 04 Mar 2025 19:43:35 GMT https://pypi.org/project/redeconv/1.0.5/ One wildly used method for scRNA-seq data normalization is to make the total count, called the transcriptome size, of all genes in each cell to be the same, such as counts per million (CPM) or count per 10 thousand (CP10K) songjian.lu@stjude.org Fri, 12 Jul 2024 21:10:34 GMT https://pypi.org/project/redeconv/1.0.4/ One wildly used method for scRNA-seq data normalization is to make the total count, called the transcriptome size, of all genes in each cell to be the same, such as counts per million (CPM) or count per 10 thousand (CP10K) songjian.lu@stjude.org Thu, 16 Nov 2023 02:02:45 GMT https://pypi.org/project/redeconv/1.0.3/ One wildly used method for scRNA-seq data normalization is to make the total count, called the transcriptome size, of all genes in each cell to be the same, such as counts per million (CPM) or count per 10 thousand (CP10K) songjian.lu@stjude.org Mon, 13 Nov 2023 08:21:39 GMT