mariyagolchin

Algorithms-for-DNA-Sequencing-Ben-Langmead

learning python for DNA Sequencing

Biopython

Learning Biopython with Biopython Tutorial and Cookbook

Breast-Cancer-Classification-Using-a-Support-Vector-Machine

Building-a-Convolutional-Neural-Network-CNN-in-Keras

Building-a-KNN-model-with-Scikit-learn

This is the notebook that goes along with the 'Building a k-NN model with Scikit-learn' tutorial on Medium.

Cancer-Classification

Deep-Learning-in-Keras

MachineLearning

Python-and-Bioinformatics

Learning Bioinformatic project with python

Python-for-Genomic-Data-Science

mariyagolchin/mariyagolchin

mariyagolchin/mariyagolchin.github.io

mariyagolchin/RNAseq_analysis

learn from sanbomics.com,https://www.youtube.com/watch?v=9D1dToIQqls&list=PLi1VnGoeDGjvHvl83QySD2oAQYFHPRYso&index=2

mariyagolchin/Cbioportal

mariyagolchin/Seminar-Presentation_Predicting-transcription-factor-binding-site-by-deep-learning

My Seminar Presentation_Predicting transcription factor binding site by deep learning

mariyagolchin/Learn_DeepLearning_proj

mariyagolchin/ImageClassification_CNN

mariyagolchin/MFB-R-Programming-1

Mathematical Foundations of Bioinformatics R Programming 1-Multiplication table-Prime number-Birthday problem-Grouped and ordered boxplot

mariyagolchin/MFB-R-Programming-2

Mathematical Foundations of Bioinformatics R Programming 2-Oncoplots

mariyagolchin/MFB-R-Programming-4

Mathematical Foundations of Bioinformatics R Programming 4-TCGA data

mariyagolchin/A-Primer-on-Deep-Learning-in-Genomics

mariyagolchin/Mathematical-Foundations-of-Bioinformatics_TA1_Programming

mariyagolchin/Mathematical-Foundations-of-Bioinformatics_TA2_Programming

mariyagolchin/Learning-phylogenetic-trees-from-multiple-sequence-alignment-of-the-COVID-data

The objective of this project is to investigate the evolutionary history of a virus strain by performing a phylogenetic analysis. To accomplish this, you will use the "MAFFT" and "RAxML-NG" tools to estimate the topology and parameters of the phylogenetic tree using the FASTA file data of Omicron, Delta, or Alpha strain genomes

mariyagolchin/Predicting-PIC50-with-machine-learning

Predicting PIC50 with machine learning for Alzheimer's Disease

mariyagolchin/Alternative-Splicing

Alternative Splicing_Presentation

mariyagolchin/RNA-Seq-analysis

RNA-Seq analysis

mariyagolchin/Read-mapping-and-genome-assembly

Objective This project aims to develop proficiency in handling short-read and long-read genomic data, performing quality control, creating genome assemblies, and conducting read mapping and variant calling.

mariyagolchin/TryMachineLearning

mariyagolchin/rnaseq

RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.

mariyagolchin/hazm

Python library for digesting Persian text.

mariyagolchin/Python-for-Genomic-Data-Science

mariyagolchin/Stock-Price-Prediction-by-LSTM

mariyagolchin/Sequence-Classification-with-LSTM-Recurrent-Neural-Networks-in-Python-with-Keras

Sequence Classification with LSTM Recurrent Neural Networks in Python with Keras

mariyagolchin/Heart-diseases-Prediction-using-MachineLearning

mariyagolchin/Breast-cancer-prediction-using-machine-learning

mariyagolchin/Brain-Tumor-Detection

Brain Tumor Detection using MRI image

mariyagolchin/MachineLearning

mariyagolchin/Breast_Cancer_Classification-sklearn_library_Breast-cancer-wisconsin-dataset

mariyagolchin/Building-a-KNN-model-with-Scikit-learn

This is the notebook that goes along with the 'Building a k-NN model with Scikit-learn' tutorial on Medium.