Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A two-stage learning method for protein-protein interaction prediction   In this paper, a new method for PPI (proteinprotein interaction) prediction
is proposed. In PPI prediction, a reliable and sufficient number of training
samples is not available, but a large number of unlabeled samples is in hand.
In the proposed method, the denoising auto encoders are employed for learning
robust features. The obtained robust features are used in order to train a
classifier with a better performance. The experimental results demonstrate the
capabilities of the proposed method.
  Protein-protein interaction; Denoising auto encoder;Robust features;
Unlabelled data;

18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg