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scoremodel

Credit scoring modeling toolbox based on R

scoringrules

scoring rules to evaluate probabilistic forecasts

scoringtools

R scoringTools Package

scornet

https://celehs.github.io/SCORNET/

screenlamp

screenlamp is a Python toolkit for hypothesis-driven virtual screening

scripts-for-dock-and-md

some scripts for AutoDock results and Gromacs results analysis

scrna_nn

scs

C package that solves convex cone problems via operator splitting

scs-1

R interface to the scs solver

scsmda-master

scutr

Balancing Multiclass Datasets for Classification Tasks

sds-capstone-zebrafish

sealeveldecisions

R code for sea level change adaptation decision making under uncertainty

seededlda

Semisupervided LDA for theory-driven text analysis

segger

Plugin to UCSF Chimera for segmenting Cryo-EM density maps

segphrase

selectboost

A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

self-tuning-locally-constrained-mixed-diffusion

selfies

Robust representation of semantically constrained graphs, in particular for molecules in chemistry

selftuninganalysis

Analysis of self-tuned criticality experiments; Please contact me if you use these functions for anything other than educational purposes so that these can be properly cited

selftuningssc

seq2seq-pytorch-for-retrosynthesis

seq_ppi

This is the repository for PIPR. This repository contains the source code and links to some datasets used in the ISMB/ECCB-2019 paper "Multifaceted Protein-Protein Interaction Prediction Based on Siamese Residual RCNN".

seqan

SeqAn's official repository.

seqdesign

Protein design and variant prediction using autoregressive generative models

seqr

fast and comprehensive k-mer counting package

seqware-bwa-workflow

This is the BWA workflow used in the PanCancer project used to allign all the BAM files.

series5

Open Source Malaria Series Five. 1-substituted isoquinolines

seurat

R toolkit for single cell genomics

seven-sorting-methods

实现了常用的排序算法，包括：冒泡排序、直接插入排序、直接选择排序、希尔排序、归并排序、快速排序、堆排序，基于python 3 编程实现