Pinned Repositories
Chondrogenesis_MODEL
Toy data to explore copasi usage
gnomes
GnomAD API
MIR199ab5p-Chondrogenesis-Modelling-Paper
Storage of scripts used in the data analysis of the following publication: Systems analysis of miR-199a/b-5p and multiple miR-199a/b-5p targets during chondrogenesis
MSci_KrutikPatel_16-17
Codes and additional graphs for my MSci project
mtCSB_SeqLearn
Using Deep learning techniques to assess if the mitochondrial CSBII region is a genuine biomarker for maternal mtDNA reversion during mitochondrial reversion therapy/ 3-parent babies.
Pre-processing
Storage of pre-processing data for PhD
Predicting-Early-Onset-Huntington-s-Disease
Analysing onset of Huntington's disease (HD) in mouse models. The model aims to predict if juvenile mice will later develop the HD phenotype, by looking at mRNA and miRNA markers present in cortex samples
SARC
Systems Analysis of Regions with Copy Number Variations (CNVs). A small R package which can be used to flag which variants detected from WES/ WGS based CNV detection pipelines/ tools are unlikely to be false positives. This can aid in reducing the amount of variants for clinicians/ diagnostic scientists to interpret.
Thesis_Data_Scripts
Scripts and Data associated with the thesis titled "Novel computational approaches to research longitudinal microRNA-mRNA expression datasets"
TimiRGeN
Time incorporating microRNA Generation of Networks
Krutik6's Repositories
Krutik6/TimiRGeN
Time incorporating microRNA Generation of Networks
Krutik6/Thesis_Data_Scripts
Scripts and Data associated with the thesis titled "Novel computational approaches to research longitudinal microRNA-mRNA expression datasets"
Krutik6/Chondrogenesis_MODEL
Toy data to explore copasi usage
Krutik6/gnomes
GnomAD API
Krutik6/MIR199ab5p-Chondrogenesis-Modelling-Paper
Storage of scripts used in the data analysis of the following publication: Systems analysis of miR-199a/b-5p and multiple miR-199a/b-5p targets during chondrogenesis
Krutik6/MSci_KrutikPatel_16-17
Codes and additional graphs for my MSci project
Krutik6/mtCSB_SeqLearn
Using Deep learning techniques to assess if the mitochondrial CSBII region is a genuine biomarker for maternal mtDNA reversion during mitochondrial reversion therapy/ 3-parent babies.
Krutik6/Pre-processing
Storage of pre-processing data for PhD
Krutik6/Predicting-Early-Onset-Huntington-s-Disease
Analysing onset of Huntington's disease (HD) in mouse models. The model aims to predict if juvenile mice will later develop the HD phenotype, by looking at mRNA and miRNA markers present in cortex samples
Krutik6/SARC
Systems Analysis of Regions with Copy Number Variations (CNVs). A small R package which can be used to flag which variants detected from WES/ WGS based CNV detection pipelines/ tools are unlikely to be false positives. This can aid in reducing the amount of variants for clinicians/ diagnostic scientists to interpret.
Krutik6/Template
my tools and tricks for using pycotools
Krutik6/Using-Machine-Learning-to-identify-microRNAs-as-biomarkers-for-pre-disposition-to-Juvenile-Onset-Hun
Data and scripts associated with the manuscript titled: Using Machine Learning to identify microRNAs as biomarkers for pre-disposition to Juvenile Onset Huntingon’s Disease.