Skip to main content

Questions tagged [deep-learning]

1 vote
1 answer
19 views

I'm working on a machine learning model to predict the binding of the transcription factor REST to candidate DNA binding sites for my final project in a bio-informatics course (McGill U, COMP561, ...
Manon Roumiguières's user avatar
3 votes
1 answer
151 views

I am running DeepVariant on a c5.4xlarge instance on AWS EC2 with Ubuntu Server 24.04. I'm using htop to monitor my CPU and memory usage. During make_examples, I noticed that only 8GB of my 32GB of ...
Sam's user avatar
  • 33
3 votes
0 answers
41 views

I am working on Protein Secondary Structure Prediction using Recurrent Neural Network (GRU) model. I came across few open source projects which already worked on the similar problem. All of them are ...
Muhammad Usman's user avatar
0 votes
0 answers
86 views

Does anybody know if there is a way to find out what are the magnification levels of the TCGA pathology slides? Are they all 40x? I can't seem to find a label of that anywhere
DeepLearner123's user avatar
1 vote
2 answers
676 views

I was reading through the DNABERT paper and found that their input features were k-mers. This is essentially using rolling window features. Why train a transformer-like model on sequences of the form ...
Avatrin's user avatar
  • 111
1 vote
2 answers
137 views

My question is exactly the one in the title. I add a particular example for more clarity. If I want to study the sequence of protein IkBα, do I find only one sequence or is there a database that ...
LearningAlgorithm's user avatar
1 vote
1 answer
90 views

The website https://maayanlab.cloud/sigcom-lincs/#/SignatureSearch/UpDown can be used to "Identify reversers and mimickers from over 1 million signatures by entering up and down gene sets .. &...
c00kieRaptor's user avatar
1 vote
1 answer
63 views

We developed a neural network-based protein reconstruction tool to reconstruct the main chain from only CA atoms. we generated data from some selected PDBs from the RCSB website to train an NN model. ...
user366312's user avatar
5 votes
3 answers
2k views

In the literature, it specifically states that AlphaFold has "Has not been trained to predict structural consequences of point mutations". See : https://alphafold.com/faq AlphaFold has not ...
jambajuice's user avatar
0 votes
0 answers
151 views

How can I convert protein distance maps and sequences to pdb files? For the same problem, in the case of a model predicting the structure of a protein, such as AlphaFold, how do we convert the ...
이명훈's user avatar
1 vote
1 answer
59 views

As a practice data analysis I am trying to train a convolutional neural network (CNN) on some cellular images made publicly available on Kaggle in 2019 by the company Recursion via supervised deep ...
Angus Campbell's user avatar
1 vote
1 answer
390 views

I'm using PyTorch (1.7.1), PyTorch Geometric (1.6.3), NVIDIA Cuda (11.2). I need to make a neural network reproducible for a competition. However, when I try: ...
이명훈's user avatar
0 votes
0 answers
51 views

I'm an undergraduate biology student and my thesis is on designing a deep learning architecture to predict whether two proteins interact or not given their primary sequences. I have read some papers ...
Anh Vu Tien's user avatar
2 votes
1 answer
101 views

Note: this question has also been asked on Biostars I am currently trying to complete a Breast Cancer Classification task using Neural Networks. I have experimented with using my full dataset of gene ...
Udb 's user avatar
  • 31
1 vote
1 answer
56 views

I'm a master's student working on genomic prediction of complex traits using deep learning. i'm looking for a dataset of human genotypes and phenotypes that has been used for a GWAS. The only thing i ...
pierre's user avatar
  • 13

15 30 50 per page