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Q8 Accuracy Evaluation metric mathematical expression used in Protein Secondary Structure Prediction

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
27 views

TCGA pathology slides magnification

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
262 views

Why does DNABert use overlapping k-mers as input?

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
110 views

How many protein sequences do we usually have for each species?

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 ...
HelpNeederStudent's user avatar
1 vote
1 answer
67 views

Gene rank scores from LINCS database: Evangelista et al. 2022

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
46 views

What options should I explore to improve the output of the protein reconstruction?

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

Why can't AlphaFold predict the consequences of point-mutations?

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
84 views

How can I convert protein distance maps and sequences to a pdb files?

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
36 views

Transfer learning for a Convolutional NN for Recursion dataset

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
352 views

Reproducible PyTorch Model

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
23 views

Build protein-protein interaction prediction deep learning model

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
80 views

Important genes beyond PAM50 for breast cancer classification

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
37 views

how to get access to genotypes and phenotypes used for a GWAS

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
1 vote
0 answers
82 views

Calling variants with DeepVariant on targeted NGS sequencing (custom library)

I am seeking advice regarding DeepVariant analysis. To avoid false positives I'm using several variant callers and then the resulting common set will be considered as TP variants. One of the callers ...
Adamm's user avatar
  • 206
1 vote
1 answer
86 views

What datasets are available out there for prediction based on DNA sequences? [closed]

I am looking for publicly available data for a genomics deep learning project. My goal is to compare different architectures to predict biological insights from DNA sequences. I have heard about ...
0x90's user avatar
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1 vote
1 answer
829 views

How to predict with the pre-trained DNABERT model?

I was curious to give DNA BERT a try. This is a BERT (Bidirectional Encoder Representations from Transformers) model that was trained on short (k=3,4,5, or 6) k-...
0x90's user avatar
  • 1,437
2 votes
1 answer
165 views

Metapath2vec on Drug-ADR Heterogeneous Graph

I am new in this field and I am having some problems regarding a new project. I built a graph using Drugbank Data connected to SIDER Adverse Reactions. I used Organ- level Terms to classify the ADRs ...
Cecilia's user avatar
  • 21
3 votes
2 answers
995 views

How does DeepVariant construct RGB images from DNA sequences?

DeepVariant is a pipeline to call genetic variants from DNA sequencing data. A major step, before feeding the CNN, is to translate these DNA sequences into images. It's unclear why and how Google ...
0x90's user avatar
  • 1,437