Overview
Who this competition fits
适合已有深度学习实践基础、愿意使用 PaddlePaddle 2.0 及以上版本的个人参赛者,尤其是想做 RNA 序列与二级结构输入建模的人。参赛者需要能处理 RNA 序列和 LinearFold 预测的二级结构,并输出逐碱基位置的概率向量。
Read the original official blurb
本赛题旨在解决RNA结构预测问题,要求选手基于百度发布的RNA二级结构预测算法LinearFold和RNA配分方程算法LinearPartition,预测给定RNA序列在每个位点上保持不成对的概率。 Official tags: 生物计算. Sign-ups: 114.
Resources
What this competition gives you
There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.
- BaselineOfficial runnable baseline project
- DataTraining and test RNA datasets
- TutorialWAVE SUMMIT+2020 engineer video explanation
- TutorialBaidu Research RNA competition explanation video
- TutorialLinearRNA tutorial
- TutorialPaddleHelix RNA prediction prerequisite tutorial
- TutorialLinearFold RNA prediction algorithm tutorial
- TutorialUniversity of Freiburg RNA teaching website
- TutorialRNA secondary structure lecture notes
- TutorialRNA structure prediction lecture notes
- Reference paperLinearPartition paper
- Reference paperLinearFold paper
- Reference paperSpotRNA paper
Preparation
From registration to a first submission
- 01
PaddlePaddle 2.0+
- 02
RNA序列建模
- 03
RNA二级结构表示
- 04
序列到序列回归
- 05
概率值预测
- 06
ZIP与TXT结果文件生成
Before you commit: 难点在于把长度可变的 RNA 序列及其 LinearFold 二级结构转化为逐位置预测,并让每个输出都落在 0 到 1 的概率范围内。提交还要求按测试序列编号分别生成单列 TXT 文件并打包为指定名称的 ZIP,格式错误会直接影响提交。
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- Baidu AI Studio
- Last checked
- Not recorded