Jie Hua’s Bioinformatics Notes
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A working notebook of reproducible bioinformatics — genomes, structures, and data visualization.

Bioinformatics Notes · Vol. 01

Jie Hua

Notes on bioinformatics, genomes, and the craft of data visualization.

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Since 2025 · Biomedical Center, LMU · Munich

Genomes Structures Viz

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Is Evolution a Search Algorithm? How Life Explores Nearly Infinite Possibilities
把进化写成一个搜索问题:搜索空间有多大、适应度景观为什么崎岖、漂变与选择如何分工、中性网络怎样让生命穿越低谷,最后把自然选择、贝叶斯推断、梯度下降与强化学习放进同一个更新规则里比较。
Jie Hua
Nov 2, 2026

Machine Learning in R: Algorithms, Mathematics and Packages
从最小二乘到随机森林、从 PCA 到 UMAP、从 glmnet 到 torch:用统一的损失-正则-优化视角讲清十种常用算法的数学,全部配 R 代码与可复现的图,并对照 tidymodels、mlr3、caret 三种工作流。
Jie Hua
Nov 1, 2026

Encoding Single-Cell RNA Expression Data for Transformer Models
逐段中英对照的技术综述:以 Geneformer、scGPT、scFoundation、scPRINT 与 UCE 为例,还原从 raw counts 到 token 与 embedding 的完整计算过程,比较信息保留、计算成本与适用场景,并给出可验证的实验设计。
Jie Hua
Oct 30, 2026

From One Multiplication to a Whole Network: Operators in AI
算子到底是什么:从 2 × 3 开始,经过矩阵乘法、激活函数、卷积与注意力,一直讲到 GPU kernel、FlashAttention 与虚拟细胞;同时区分数学定义、框架实现与硬件实现这三层,并给出判断“新算子”是否真的新的问题清单。
Jie Hua
Oct 29, 2026

From Non-Life to Life: Philosophy, Self-Organization, Information, and the Emergence of Living Systems
一篇关于生命起源的深度综述:从亚里士多德与康德,到耗散结构、自催化闭合、RNA 复制、原始细胞与人工生命,梳理 2020–2026 年的实验与理论进展,并给出可检验的生命性评价框架。
Jie Hua
Oct 28, 2026

Proteomics by mass spectrometry: what is inside a raw file
A technical walkthrough of bottom-up proteomics: sample preparation, LC-MS/MS acquisition, the anatomy of vendor and open raw formats (mzML, mzMLb, imzML), reading data with…
Jie Hua
Oct 26, 2026

Single-cell sequencing: from a cell to a cell state
A technical walkthrough of single-cell RNA-seq: molecular chemistry, platforms, raw file formats, barcode and UMI processing, count matrices, QC, clustering, annotation and…
Jie Hua
Oct 22, 2026
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Jie Hua Bioinformatics Notes
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