互联网游荡杂志（第22期）-李小龙的手记教会了我什么

• Date : [[2022-07-21_Thu]]
• 微信公众号 : 北野茶缸子
• Tags : #杂志

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1、Bruce Lee’s Never-Before-Seen Writings on Willpower, Emotion, Reason, Memory, Imagination, and Confidence – The Marginalian[1]

感觉是一篇用词非常优雅的文章。里面也记录了李小龙关于意志、情感、记忆、想象力的随笔和思考，这里我也摘录并尝试翻译：

• 意志 WILL POWER

我认为意志力是我大脑中最重要的部分。为了随时应对任何突发，我会每天训练它，将这种训练变成我的一种习惯，并至少每天一次的在实践中运用我的意志。

Recognizing that the power of will is the supreme court over all other departments of my mind, I will exercise it daily, when I need the urge to action for any purpose; and I will form HABIT designed to bring the power of my will into action at least once daily.

ps：这里的bring the power of my will into action，对应exercise 和action，二者有什么区别呢？

• 情感 EMOTION

人的情感都有积极和消极的两个部分。我会养成鼓励积极情绪发展的日常习惯，以帮助我将消极情绪转化为有用的行动。

Realizing that my emotions are both POSITIVE and negative I will form daily HABITS which will encourage the development of the POSITIVE EMOTIONS, and aid me in converting the negative emotions into some form of useful action.

• 理智 REASON

我认识到，无论是积极情绪还是消极情绪，如果不加以控制并引导它们达到理想的状态，都可能是危险的。因此，我将把我所有的欲望与目标都交给我的理智，并在理智的指引下表达它们。

Recognizing that both my positive & negative emotions may be dangerous if they are not controlled and guided to desirable ends, I will submit all my desires, aims and purposes to my faculties of reason, and I will be guided by it in giving expression to these.

• 想象 IMAGINATION

实现自己的愿望，需要合理的计划和想法，我要培养自己的想象力，每天训练它，以帮助我构思计划。

Recognizing the need for sound PLANS and IDEAS for the attainment of my desires, I will develop my imagination by calling upon it daily for help in the formation of my plans.

• 记忆 MEMORY

即时记忆是非常重要的，我希望让自己变得警觉，能够对所有我希望回忆的想法印象深刻，并将这些想法与其相关的，我经常会思考的主题联系起来。

Recognizing the value of an alert memory, I will encourage mine to become alert by taking care to impress it clearly with all thoughts I wish to recall, and by associating those thoughts with related subjects which I may call to mind frequently.

ps：将有用的信息与自己关心的主题迅速关联，并经常反刍，以加深记忆。

• 潜意识 SUBCONSCIOUS MIND

认识到潜意识对我意志的影响，我将谨慎地向潜意识传输明确的生活目标，以及所有形成主要目标的小目标，我应当在潜意识形成前，反复形成这些画面。

Recognizing the influence of my subconscious mind over my power of will, I shall take care to submit to it a clear and definite picture of my CLEAR PURPOSE in life and all minor purposes leading to my major purpose, and I shall keep this picture CONSTANTLY BEFORE my subconscious mind by REPEATING IT DAILY.

ps：这也太自律了。

• 良心 CONSCIENCE

认识到我的情绪常常因过度热情而犯错误，而我的理性能力，往往缺乏那些让我在判断时，将正义与仁慈结合起来所必需的感情。我将鼓励我的良心引导我判断孰是孰非，但我永远不会推翻它所做出的判断，无论执行这些的代价是什么。

Recognizing that my emotions often err in their over-enthusiasm, and my faculty of reason often is without the warmth of feeling that is necessary to enable me to combine justice with mercy in my judgments, I will encourage my conscience to guide me as to what is right & what is wrong, but I will never set aside the verdicts it renders, no matter what may be the cost of carrying them out.

ps：没有什么事情是绝对的对与错，做到问心无愧，毅然决然地做下去就好了。

再引用一些李小龙的笔记：

I know that I have the ability to ACHIEVE the object of my DEFINITE PURPOSE in life; therefore I DEMAND of myself persistent, continuous action toward its attainment, and I here and now promise to render such action. I realize the DOMINATING THOUGHTS of my mind will eventually reproduce themselves in outward, physical action, and gradually transform themselves into physical reality; therefore I will CONCENTRATE my thoughts for 30 min. daily upon the task of thinking of the person I intend to become, thereby creating in my mind a clear MENTAL PICTURE. I know through the principle of autosuggestion, any desire that I PERSISTENTLY hold will eventually seek expression through some practical means of attaining the object back of it; therefore, I will devote 10 min. daily to DEMANDING of myself the development of SELF-CONFIDENCE. I have clearly written down a description of my DEFINITE CHIEF AIM in life, and I will never stop trying until I shall have developed sufficient self-confidence for its attainment.

相关的文章：Bruce Lee on Self-Actualization and the Crucial Difference Between Pride and Self-Esteem – The Marginalian[2]

2、The Marginalian – Marginalia on our search for meaning.[3]

上面那篇文章所在的网站。

作者15年如一日的坚持着更新：

Each month, I spend hundreds of hours and thousands of dollars keeping The Marginalian (formerly Brain Pickings) going. For fifteen years, it has remained free and ad-free and alive thanks to patronage from readers. I have no staff, no interns, not even an assistant — a thoroughly one-woman labor of love that is also my life and my livelihood. If this labor has made your own life more livable in the past year (or the past decade), please consider aiding its sustenance with a one-time or loyal donation. Your support makes all the difference.

有意思的灵魂，有意思的文章：

3、关于肿瘤外显子实验设计的问题

分析肿瘤外显子数据时有个疑惑，希望有大佬能指点一下 用外显子测序检测肿瘤体细胞突变，一般选择癌与癌旁配对，也有选择癌与外周血配对，两者有什么区别，哪个更推荐呢？这个问题我请教过几位朋友，大家都说首选癌与癌旁配对，我查TCGA的样本信息也基本是癌与癌旁正常组织配对，但是没有人给我说清楚为什么优先选择癌旁作为阴性对照。

这个问题首先是一位临床医生朋友提出来的：他取到的癌旁组织通常不是正常组织，而是癌变前的病变组织，按说血液外显子数据可以提供更纯净的阴性背景。

答：以前讲座的一个老师说过的两个原因：癌旁和肿瘤更相似，如果这两者都有差异，那么和正常应该也有差异；但是正常和肿瘤的差异不一定是导致肿瘤的原因，可能是正常细胞一些个体性突变

摘自：生信会客厅交流群A

4、Search for single cell | Papers With Code[4]

一个收录文章的同时，也会收录其对应数据集、项目或代码的网站。目前主要针对计算机领域。

对于生信并没有特别的分类，但是可以通过搜索，比如single cell 进行定位。

数据集：Machine Learning Datasets | Papers With Code[5]

5、Predicting single-cell perturbation responses for unseen drugs | Papers With Code[6]

项目在：[theislab/: Code for "Predicting Single-Cell Perturbation Responses for Unseen Drugs", ICLR MLDD 2022](https://github.com/theislab/chemCPA "theislab/: Code for "Predicting Single-Cell Perturbation Responses for Unseen Drugs", ICLR MLDD 2022")

通过已有的bulk 数据来训练模型以预测单细胞对药物的perturbation？很有意思。

Our method is as flexible and interpretable as CPA but further enables us to leverage lower resolution but higher throughput assays, such as bulk RNA-seq HTSs, to improve the model’s generalisation performance on single-cell data.

6、singleR 以外的关于细胞注释有意思的算法

• OnClass: single-cell annotation based on the Cell Ontology — OnClass OnClass0.0.1 documentation[7]
• SciBet:一个软件解决单细胞注释所有烦恼
• mtSC：整合多参考数据集进行单细胞亚群注释
• scCAN: Single-Cell Clustering using Autoencoder and Network Fusion (r-project.org)[8]
• ProjecTILs：一站式解决肿瘤和感染模型中T细胞的注释 (qq.com)
• 算法：单细胞转录组测序联合bulk转录组测序 - 知乎 (zhihu.com)[9]

7、强烈安利试试这个！效果爆炸的漫画变身AI，火到服务器几度挤爆

如果是AI 影像再去加上各种效果呢？

8、satijalab/seurat-wrappers: Community-provided extensions to Seurat[10]

将多种分析整合到seurat对象的操作流程：

9、Welcome to our community! — Write the Docs[27]We consider everyone who cares about communication, documentation, and their users to be a member of our community. This can be programmers, tech writers, developer advocates, customer support, marketers, and anyone else who wants people to have great experiences with software.

一起来写文档吧！

10、TumorPortal[28]

非常棒的肿瘤基因突变信息数据库：

可以查看各种癌种的突变位点：

参考资料

[1]

Bruce Lee’s Never-Before-Seen Writings on Willpower, Emotion, Reason, Memory, Imagination, and Confidence – The Marginalian: https://www.themarginalian.org/2016/08/01/bruce-lee-notebook/

[2]

Bruce Lee on Self-Actualization and the Crucial Difference Between Pride and Self-Esteem – The Marginalian: https://www.themarginalian.org/2015/12/18/bruce-lee-artist-of-life-self-esteem/

[3]

The Marginalian – Marginalia on our search for meaning.: https://www.themarginalian.org/

[4]

Search for single cell | Papers With Code: https://paperswithcode.com/search?q_meta=&q_type=&q=single cell

[5]

Machine Learning Datasets | Papers With Code: https://paperswithcode.com/datasets

[6]

Predicting single-cell perturbation responses for unseen drugs | Papers With Code: https://paperswithcode.com/paper/predicting-single-cell-perturbation-responses

[7]

OnClass: single-cell annotation based on the Cell Ontology — OnClass OnClass0.0.1 documentation: https://onclass.readthedocs.io/en/latest/

[8]

scCAN: Single-Cell Clustering using Autoencoder and Network Fusion (r-project.org): https://cran.r-project.org/web/packages/scCAN/scCAN.pdf

[9]

算法：单细胞转录组测序联合bulk转录组测序 - 知乎 (zhihu.com): https://zhuanlan.zhihu.com/p/511404691

[10]

satijalab/seurat-wrappers: Community-provided extensions to Seurat: https://github.com/satijalab/seurat-wrappers

[11]

Calculating Trajectories with Monocle 3 and Seurat: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/monocle3.html

[12]

Estimating RNA Velocity using Seurat and scVelo: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/scvelo.html

[13]

Running CoGAPS on Seurat Objects: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/cogaps.html

[14]

Running GLM-PCA on a Seurat Object: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/glmpca.html

[15]

Integration of datasets using Conos: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/conos.html

[16]

Integrating Seurat objects using LIGER: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/liger.html

[17]

Running fastMNN on Seurat Objects: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/fast_mnn.html

[18]

Integration of datasets using Harmony: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/harmony.html

[19]

Zero-preserving imputation with ALRA: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/alra.html

[20]

Estimating RNA Velocity using Seurat: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/velocity.html

[21]

Using schex with Seurat: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/schex.html

[22]

Import alevin counts into Seurat: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/alevin.html

[23]

Visualization of gene expression with Nebulosa: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/nebulosa.html

[24]

Using CIPR with human PBMC data: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/cipr.html

[25]

Running miQC on Seurat objects: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/miQC.html

[26]

Running estimate_cycle_position from tricycle on Seurat Objects: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/tricycle.html

[27]

Welcome to our community! — Write the Docs: https://www.writethedocs.org/

[28]

TumorPortal: http://www.tumorportal.org/