Prakash R Timilsena (prakashraaz)

prakashraaz

Geek Repo

Location:United States

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Prakash R Timilsena's repositories

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awesome_spatial_omics

tools and notes for spatial omics

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Programming_notes

Programming-related notes

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workshop-scRNAseq

Single cell RNA sequencing analysis course

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Udemy---Machine-Learning

Notebooks for Course

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cornell-cs5785-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech

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prakashraaz

Config files for my GitHub profile.

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SingeCellMultiOmicsNetwork

Repository for book chapter titled "Gene regulatory network modelling using single-cell multi-omics in plants"

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spatial_scog_workshop_2022

Tutorials for the SCOG Virtual Workshop ‘Spatial transcriptomics data analysis in Python’ - May 23-24, 2022

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awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

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workshop_omics_integration

Workshop in omics integration and systems biology

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awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

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ngmlr

NGMLR is a long-read mapper designed to align PacBio or Oxford Nanopore (standard and ultra-long) to a reference genome with a focus on reads that span structural variations

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cheatsheets

RStudio Cheat Sheets

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ksrates

ksrates is a tool to position whole-genome duplications relative to speciation events using substitution-rate-adjusted mixed paralog-ortholog Ks distributions.

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Training-modules

Materials for short, half-day workshops

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utilities

Some functions in R

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data-science-1

:bar_chart: Path to a free self-taught education in Data Science!

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zero-to-mastery-ml

All course materials for ZTM ML on Udemy

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course-v3

The 3rd edition of course.fast.ai

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python-cheatsheet

Comprehensive Python Cheatsheet

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tidytuesday

Official repo for the #tidytuesday project

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jupyter

Jupyter metapackage for installation, docs and chat

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cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

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