#用pip来装,比conda快 pipinstallmira-multiome scanpy jupyter jupyterlab leidenalg #把kernel加入jupyter python -m ipykernelinstall--user --name mira-env # 安装指定版本的pytorch,https://pytorch.org/get-started/locally/ pipinstalltorch torchvision torchaudio pipinstallmira-multiome==1.0.4 pipinstall...
接下来将 MIRA 应用于胚胎大脑数据集(在不同平台上进行检测,10x Multiome)以确定驱动抑制性和兴奋性神经元命运之间决定的关键因素,其平衡对正常大脑发育至关重要。 与对表达和可及性的单独分析相比,MIRA joint topic modeling 构建了一个高保真谱系树,展示了从共同祖细胞到星形胶质细胞或神经元祖细胞的连续流动,随后...
conda create --name mira-env -c conda-forge -c pytorch -c bioconda scanpy jupyter leidenalg conda activate mira-env pip3 install mira-multiome python -m ipykernel install --user --name mira-env To use the environment in a jupyter notebook, start the notebook server, then go to Kernel...
{% set name = "mira-multiome" %} {% set version = "2.0.2" %} package: name: {{ name|lower }} version: {{ version }} source: url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/mira-multiome-{{ version }}.tar.gz sha256: bbdb52d81e9885ff112cbcbd67e25b9...
接下来将 MIRA 应用于胚胎大脑数据集(在不同平台上进行检测,10x Multiome)以确定驱动抑制性和兴奋性神经元命运之间决定的关键因素,其平衡对正常大脑发育至关重要。 与对表达和可及性的单独分析相比, MIRA joint topic modeling 构建了一个高保真谱系树,展示了从共同祖细胞到星形胶质细胞或神经元祖细胞的连续流动,随后...
Rigorously comparing gene expression and chromatin accessibility in the same single cells could illuminate the logic of how coupling or decoupling of these mechanisms regulates fate commitment. Here we present MIRA, probabilistic multimodal models for in
接下来将 MIRA 应用于胚胎大脑数据集(在不同平台上进行检测,10x Multiome)以确定驱动抑制性和兴奋性神经元命运之间决定的关键因素,其平衡对正常大脑发育至关重要。 与对表达和可及性的单独分析相比,MIRA joint topic modeling 构建了一个高保真谱系树,展示了从共同祖细胞到星形胶质细胞或神经元祖细胞的连续流动,随后...
One significant advantage of using natural extracts against cancer cells is their multitargeted modes of action [4–6]. The different active ingredients in a plant extract can provide significant polypharmacological and synergistic effects for cancer therapies [6]. Nepenthes are carnivorous pitcher ...