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- 改訂 独習Pythonバイオ情報解析〜生成AI時代に活きるJupyter、NumPy、pa...
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改訂 独習Pythonバイオ情報解析〜生成AI時代に活きるJupyter、NumPy、pandas、Matplotlib、Scanpyの基礎を身につけ、シン
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108060860
XOF 44726
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- Pythonの定番テキストが待望の改訂！大規模データの取り扱いや図による可視化など汎用的なPythonの使い方から，シングルセル，RNA-seq解析までバイオインフォマティクスの基礎が身につきます．サンプルデータとコード見本付きで，今日から実践しながら学べます．改訂では，生成AIの活用方法やScanpyの詳細な解説を加筆し，各種ライブラリのアップデートに対応しました． 【目次】 改訂にあたり はじめに（初版） 第1章 この本の使い方と事前準備 第2章 生成AIを用いたプログラミング 第3章 Jupyter Notebookの使い方 第4章 Python速習コース 第5章 文字列処理の基本 〜ファイルの読み書き，正規表現 第6章 Biopythonを用いた塩基配列データの扱い方 〜オブジェクト指向入門 第7章 pandasはじめの一歩 〜表形式データの扱い方 第8章 RNA-Seqカウントデータの処理 〜pandas実践編 第9章 データの可視化 〜Matplotlib，Seabornを用いたグラフ作成 第10章 統計的仮説検定 〜RNA-Seqデータを用いた検定の基本からモデル選択まで 第11章 シングルセル解析（１） 〜テーブルデータの前処理 第12章 シングルセル解析（２） 〜次元削減 第13章 シングルセル解析（３） 〜クラスタリング 付録A NumPy入門 付録B Scanpyを使ったシングルセル解析 索引 執筆者一覧
| Publisher | 羊土社 |
| Publication date | January 30, 2025 |
| Language | Japanese |
| Print length | 446 pages |
| ISBN-10 | 4758122784 |
| ISBN-13 | 978-4758122788 |
| Item Weight | 1 Kilograms |
| Dimensions | 10.12 x 8.27 x 0.87 inches (25.7 x 21 x 2.2 cm) |
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Yi Oda yanzu, a samu nan da Talata, Oktoba 13
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