Name: Ani
Type: User
Company: Norwegian University of Science and Technology
Bio: A medical graduate from Delhi University with post-graduation in bioinformatics from Jawaharlal Nehru University, India.
Twitter: animesh1977
Location: Norway
Blog: https://www.fuzzylife.org
Ani's Projects
Resources for deep learning with satellite & aerial imagery
Single-cell Consensus Clusters of Encoded Subspaces
R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.
An open access book on scientific visualization using python and matplotlib
ScisorWiz: Differential Isoform Visualizer for Long-Read RNA Sequencing Data
scite zotero plugin
R package for integrating and comparing multiple single cell genomic datasets
A tool for detecting somatic variants in single cell data
Sequence conservation of protein on 3D structure.
Miscellaneous scripts moved from https://code.google.com/p/misccb/
Scripts to handle NGS data and other biological data
Analysis of single cell RNA-seq data course
R/Bioconductor package to interactively explore single cell clusters at multiple resolutions
A Julia package for fitting VAEs to single-cell data using count distributions.
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
We have used 250 sentences of movie reviews available for research from IIT bombay and also crawled and manually annotated 750 reviews from jagran.com, In total 1000 reviews. After preprocessing the dataset, We generate the featureset as a vector-based approach using Term frequency, tfidf for unigrams and bigrams. Then we used three approaches to predict the sentiment of a review. Approaches used are Resource based, In-language semantic analysis and Machine Translation based semantic analysis.
Ultra-deep search for novel viruses
Information-based dimensionality reduction
Exploration of Omics data
A shiny application to visualize MCscan result
Training a model to recognize Sign Language then running inference on the Webcam
An education step by step implementation of SimCLR that accompanies the blogpost
Automatically exported from code.google.com/p/simnest