美文网首页
机器学习/深度学习与基因组学资源搜罗

机器学习/深度学习与基因组学资源搜罗

作者: 卖萌哥 | 来源:发表于2024-08-07 04:49 被阅读0次

作为一个genomics方向的研究者,在AI的浪潮中总是避免不了焦虑。担心被时代抛弃。

在以前,不识字的我们称之为文盲;

再后来,英语不好是地球村的文盲;

接着到了信息时代,不会编程也是某种意义上的“文盲”;

那到了AI的时代呢?

焦虑解决不了任何问题,战胜焦虑的最好办法就是面对焦虑!

所以我今天整理了一下目前机器学习/深度学习与基因组相关的研究的一些资源供自己学习,也分享给各位同路人。

论文:

  1. Nature Reviews Genetics

Deep learning: new computational modelling techniques for genomics

  1. Nature Reviews Genetics

Obtaining genetics insights from deep learning via explainable artificial intelligence

  1. Briefings in Bioinformatics

Interpretation of deep learning in genomics and epigenomics

  1. BMC Human Genomics

review of deep learning applications in human genomics using next-generation sequencing data

  1. Frontiers in Systems Biology

A Brief Review on Deep Learning Applications in Genomic Studies

  1. PeerJ

Genomics enters the deep learning era

  1. Communications Biology

A self-supervised deep learning method for data-efficient training in genomics

  1. International Journal of Molecular Sciences

Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models

  1. Current Opinion in Biotechnology

Deep learning in regulatory genomics: from identification to design

  1. Nature Computational Science

A software framework for end-to-end genomic sequence analysis with deep learning

教程/工具

  1. 斯坦福大学 Deep Learning Tutorial
  1. 布朗大学 Deep Learning in Genomics的slides
  1. Deep Learning Genomics Primer
  1. Janggu - Deep learning for Genomics

视频

  1. Deep Learning in Life Sciences
  1. Session 1: Algorithm development and machine learning approaches in genomics
  1. James Zou: "Deep learning for genomics
  1. Deep learning for genomics - Anshul Kundaje
  1. Genomics with Deep Learning: A Concise Overview | AISC
  1. Interpretable machine learning for genomics: examples, opportunities, and challenges: David Watson
  1. NNFC Workshop: Deep learning for genomic discovery
  1. 一个MIT的视频课程的播放列表,包含了好多视频课程

相关文章

网友评论

      本文标题:机器学习/深度学习与基因组学资源搜罗

      本文链接:https://www.haomeiwen.com/subject/jxyqkjtx.html