Pinned Repositories
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Baselineforecast
benchmarking-gnns
Repository for benchmarking graph neural networks
bioinformatics
:microscope: Path to a free self-taught education in Bioinformatics!
cell2sentence
Create cell sentences from sequencing data
sachinkavindaa's Repositories
sachinkavindaa/cellrank
CellRank: dynamics from multi-view single-cell data
sachinkavindaa/Clinical-Genomics
Here we are going to discuss variant calling on human datasets using GATK Best practices pipeline
sachinkavindaa/ConvNetVAE
sachinkavindaa/CytoCommunity
The first computational tool that enables both unsupervised and supervised discovery of tissue spatial domains
sachinkavindaa/DAESC
sachinkavindaa/fetchngs
Pipeline to fetch metadata and raw FastQ files from public databases
sachinkavindaa/gcp-for-bioinformatics
GCP for Bioinformatics Researchers
sachinkavindaa/geometric-rna-design
gRNAde: Geometric Deep Learning for RNA Design
sachinkavindaa/go-nuclear
Guides and code for 3D nuclear instance segmentation
sachinkavindaa/lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
sachinkavindaa/math_for_compbio
Math for computational biology: calculus, linear algebra, differential equation
sachinkavindaa/Mellon
Non-parametric density inference for single-cell analysis.
sachinkavindaa/miniprot
Align proteins to genomes with splicing and frameshift
sachinkavindaa/miRNA_neural_network
A function to prepare the neural network sequence for the miRNA predictions. It uses the target prediction and the transcript and prepares the targets for the neural networks
sachinkavindaa/MUSTANG
MUSTANG: reference-free MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance
sachinkavindaa/predoc-course
Kreshuk Lab's EMBL EIPP predoc course teaching material, each branch keeps the record of a specific season
sachinkavindaa/pyliger
Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)
sachinkavindaa/sccomp
Testing differences in cell type proportions from single-cell data.
sachinkavindaa/scFoundation
sachinkavindaa/scGAAC
sachinkavindaa/scplotter
scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing data in an easy and efficient way.
sachinkavindaa/scPML
sachinkavindaa/SHARE-Topic
sachinkavindaa/skforecast
Time series forecasting with machine learning models
sachinkavindaa/SMAI
Alignability testing and integration of single-cell data
sachinkavindaa/STACCato
Supervised Tensor Analysis tool for studying Cell-cell Communication using scRNA-seq data across multiple samples and conditions
sachinkavindaa/Stator
STATOR: A Nexflow pipeline to infer cell types, subtypes, and states from gene expression data.
sachinkavindaa/timeseries-forecasting
sachinkavindaa/ultrack
Cell tracking and segmentation software
sachinkavindaa/WalmartsalesSQLanalysis