biomisc_R VS hermiter

Compare biomisc_R vs hermiter and see what are their differences.

biomisc_R

command line bioinformatic scripts written in R (by olgatsiouri1996)

hermiter

Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate) (by MikeJaredS)
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biomisc_R hermiter
3 3
23 15
- -
0.0 4.5
almost 2 years ago 2 months ago
R R
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

biomisc_R

Posts with mentions or reviews of biomisc_R. We have used some of these posts to build our list of alternatives and similar projects.

hermiter

Posts with mentions or reviews of hermiter. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing biomisc_R and hermiter you can also consider the following projects:

sjPlot - sjPlot - Data Visualization for Statistics in Social Science

rms-letter-comparison - GitHub petitions regarding removal of rms: contributor comparison data and computational analysis

rhmmer - Simple R utilities for working with HMMER

tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

drugfindR - Repository holding the code for the drugfindR R package

miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

rna-seq-kallisto-sleuth - A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.

lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:

causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning