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<a href="/2024/12/23/2024-dan-xi-bao-rna-ce-xu-shu-ju-ying-yong-xi-lie-1-yu-chu-li/" target="_self">
2024 单细胞 RNA 测序数据应用系列 1 预处理
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/2024/12/23/2024-dan-xi-bao-rna-ce-xu-shu-ju-ying-yong-xi-lie-1-yu-chu-li/" target="_self">
<div>
对于单细胞 RNA 测序数据我们通常会进行一个预处理过程，这个也和大多数机器学习和深度学习项目一致。这里我们介绍以 h5 文件格式存储的单细胞 RNA 测序数据的预处理。预处理主要是对表达矩阵进行归一化和去除低表达基因和细胞。
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<a href="/2024/11/26/openai-papers/" target="_self">
OpenAI-papers
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/2024/11/26/openai-papers/" target="_self">
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整理 OpenAI 在其主页上的文章。
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<time datetime="2024-11-26 00:00" pubdate>
2024-11-26
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<a href="/2024/11/20/2023-top-federated-learning-journal-review/" target="_self">
2023 TOP Federated Learning Journal Review
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/2024/11/20/2023-top-federated-learning-journal-review/" target="_self">
<div>
2023 年度的人工智能和数据挖掘顶刊已经出炉，在此把关于 Federated Learning 的部分筛选出来，以供后续学习。
</div>
</a>
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<time datetime="2024-11-20 00:00" pubdate>
2024-11-20
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<a href="/categories/Deep-Learning/" class="category-chain-item">Deep Learning</a>
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<a href="/tags/Federated-Learning/">#Federated-Learning</a>
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<h2 class="index-header">
<a href="/2024/11/20/2023-top-federated-learning-conference-review/" target="_self">
2023 TOP Federated Learning Conference Review
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/2024/11/20/2023-top-federated-learning-conference-review/" target="_self">
<div>
2023 年度的人工智能和数据挖掘顶会已经出炉，在此把关于 Federated Learning 的部分筛选出来，以供后续学习。
</div>
</a>
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<time datetime="2024-11-20 00:00" pubdate>
2024-11-20
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<a href="/categories/Deep-Learning/" class="category-chain-item">Deep Learning</a>
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<a href="/tags/Federated-Learning/">#Federated-Learning</a>
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<a href="/2024/10/07/optimization-methods/" target="_self">
Optimization Methods
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/2024/10/07/optimization-methods/" target="_self">
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Optimizer
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<time datetime="2024-10-07 22:24" pubdate>
2024-10-07
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<a href="/categories/Deep-Learning/" class="category-chain-item">Deep Learning</a>
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<a href="/tags/Optimizer/">#Optimizer</a>
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<a href="/2024/10/07/paper-diary-2024-deepzero-scaling-up-zeroth-order-optimization-for-deep-model-training-2023/" target="_self">
Paper Diary-2024-DeepZero@Scaling Up Zeroth-Order Optimization for Deep Model Training (2023)
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/2024/10/07/paper-diary-2024-deepzero-scaling-up-zeroth-order-optimization-for-deep-model-training-2023/" target="_self">
<div>
DeepZero@Scaling Up Zeroth-Order Optimization for Deep Model Training
</div>
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<time datetime="2024-10-07 22:24" pubdate>
2024-10-07
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<a href="/tags/Zeroth-Order/">#Zeroth-Order</a>
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<a href="/2024/07/06/paper-diary-2024-foundation-models-for-time-series-analysis-a-tutorial-and-survey-2024/" target="_self">
Paper Diary-2024-Foundation Models for Time Series Analysis@A Tutorial and Survey (2024)
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/2024/07/06/paper-diary-2024-foundation-models-for-time-series-analysis-a-tutorial-and-survey-2024/" target="_self">
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Foundation Models for Time Series Analysis@A Tutorial and Survey
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